Classification - Machine Learning This is ‘Classification’ tutorial which is a part of the Machine Learning course offered by Simplilearn. We will learn Classification algorithms, types of classification algorithms, support vector machines(SVM), Naive Bayes, Decision Tree and Random Forest Classifier in this tutorial. Objectives Let us look at some of the objectives covered under this section of Machine Learning tutorial. Define Classification and list its algorithms Describe Logistic Regression and Sigmoid Probability Explain K-Nearest Neighbors and KNN classification Understand Support Vector Machines, Polynomial Kernel, and Kernel Trick Analyze Kernel Support Vector Machines with an example Implement the Naïve Bayes Classifier Demonstrate Decision Tree Classifier Describe Random Forest Classifier Classification: Meaning Classification is a type of supervised learning. It specifies the class to which data elements belong to and is best used when the output has finite and discrete values. It predicts a class for an input variable as well. There are 2 types of Classification: Binomial Multi-Class Classification: Use Cases Some of the key areas where classification cases are being used: To find whether an email received is a spam or ham To identify customer segments To find if a bank loan is granted To identify if a kid will pass or fail in an examination Classification: Example Social media sentiment analysis has two potential outcomes, positive or negative, as displayed by the chart given below. https://www.simplilearn.com/ice9/free_resources_article_thumb/classification-example-machine-learning.JPG This chart shows the classification of the Iris flower dataset into its three sub-species indicated by codes 0, 1, and 2. https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-flower-dataset-graph.JPG The test set dots represent the assignment of new test data points to one class or the other based on the trained classifier model. Types of Classification Algorithms Let’s have a quick look into the types of Classification Algorithm below. Linear Models Logistic Regression Support Vector Machines Nonlinear models K-nearest Neighbors (KNN) Kernel Support Vector Machines (SVM) Naïve Bayes Decision Tree Classification Random Forest Classification Logistic Regression: Meaning Let us understand the Logistic Regression model below. This refers to a regression model that is used for classification. This method is widely used for binary classification problems. It can also be extended to multi-class classification problems. Here, the dependent variable is categorical: y ϵ {0, 1} A binary dependent variable can have only two values, like 0 or 1, win or lose, pass or fail, healthy or sick, etc In this case, you model the probability distribution of output y as 1 or 0. This is called the sigmoid probability (σ). If σ(θ Tx) > 0.5, set y = 1, else set y = 0 Unlike Linear Regression (and its Normal Equation solution), there is no closed form solution for finding optimal weights of Logistic Regression. Instead, you must solve this with maximum likelihood estimation (a probability model to detect the maximum likelihood of something happening). It can be used to calculate the probability of a given outcome in a binary model, like the probability of being classified as sick or passing an exam. https://www.simplilearn.com/ice9/free_resources_article_thumb/logistic-regression-example-graph.JPG Sigmoid Probability The probability in the logistic regression is often represented by the Sigmoid function (also called the logistic function or the S-curve): https://www.simplilearn.com/ice9/free_resources_article_thumb/sigmoid-function-machine-learning.JPG In this equation, t represents data values * the number of hours studied and S(t) represents the probability of passing the exam. Assume sigmoid function: https://www.simplilearn.com/ice9/free_resources_article_thumb/sigmoid-probability-machine-learning.JPG g(z) tends toward 1 as z -> infinity , and g(z) tends toward 0 as z -> infinity K-nearest Neighbors (KNN) K-nearest Neighbors algorithm is used to assign a data point to clusters based on similarity measurement. It uses a supervised method for classification. The steps to writing a k-means algorithm are as given below: https://www.simplilearn.com/ice9/free_resources_article_thumb/knn-distribution-graph-machine-learning.JPG Choose the number of k and a distance metric. (k = 5 is common) Find k-nearest neighbors of the sample that you want to classify Assign the class label by majority vote. KNN Classification A new input point is classified in the category such that it has the most number of neighbors from that category. For example: https://www.simplilearn.com/ice9/free_resources_article_thumb/knn-classification-machine-learning.JPG Classify a patient as high risk or low risk. Mark email as spam or ham. Keen on learning about Classification Algorithms in Machine Learning? Click here! Support Vector Machine (SVM) Let us understand Support Vector Machine (SVM) in detail below. SVMs are classification algorithms used to assign data to various classes. They involve detecting hyperplanes which segregate data into classes. SVMs are very versatile and are also capable of performing linear or nonlinear classification, regression, and outlier detection. Once ideal hyperplanes are discovered, new data points can be easily classified. https://www.simplilearn.com/ice9/free_resources_article_thumb/support-vector-machines-graph-machine-learning.JPG The optimization objective is to find “maximum margin hyperplane” that is farthest from the closest points in the two classes (these points are called support vectors). In the given figure, the middle line represents the hyperplane. SVM Example Let’s look at this image below and have an idea about SVM in general. Hyperplanes with larger margins have lower generalization error. The positive and negative hyperplanes are represented by: https://www.simplilearn.com/ice9/free_resources_article_thumb/positive-negative-hyperplanes-machine-learning.JPG Classification of any new input sample xtest : If w0 + wTxtest > 1, the sample xtest is said to be in the class toward the right of the positive hyperplane. If w0 + wTxtest < -1, the sample xtest is said to be in the class toward the left of the negative hyperplane. When you subtract the two equations, you get: https://www.simplilearn.com/ice9/free_resources_article_thumb/equation-subtraction-machine-learning.JPG Length of vector w is (L2 norm length): https://www.simplilearn.com/ice9/free_resources_article_thumb/length-of-vector-machine-learning.JPG You normalize with the length of w to arrive at: https://www.simplilearn.com/ice9/free_resources_article_thumb/normalize-equation-machine-learning.JPG SVM: Hard Margin Classification Given below are some points to understand Hard Margin Classification. The left side of equation SVM-1 given above can be interpreted as the distance between the positive (+ve) and negative (-ve) hyperplanes; in other words, it is the margin that can be maximized. Hence the objective of the function is to maximize with the constraint that the samples are classified correctly, which is represented as : https://www.simplilearn.com/ice9/free_resources_article_thumb/hard-margin-classification-machine-learning.JPG This means that you are minimizing ‖w‖. This also means that all positive samples are on one side of the positive hyperplane and all negative samples are on the other side of the negative hyperplane. This can be written concisely as : https://www.simplilearn.com/ice9/free_resources_article_thumb/hard-margin-classification-formula.JPG Minimizing ‖w‖ is the same as minimizing. This figure is better as it is differentiable even at w = 0. The approach listed above is called “hard margin linear SVM classifier.” SVM: Soft Margin Classification Given below are some points to understand Soft Margin Classification. To allow for linear constraints to be relaxed for nonlinearly separable data, a slack variable is introduced. (i) measures how much ith instance is allowed to violate the margin. The slack variable is simply added to the linear constraints. https://www.simplilearn.com/ice9/free_resources_article_thumb/soft-margin-calculation-machine-learning.JPG Subject to the above constraints, the new objective to be minimized becomes: https://www.simplilearn.com/ice9/free_resources_article_thumb/soft-margin-calculation-formula.JPG You have two conflicting objectives now—minimizing slack variable to reduce margin violations and minimizing to increase the margin. The hyperparameter C allows us to define this trade-off. Large values of C correspond to larger error penalties (so smaller margins), whereas smaller values of C allow for higher misclassification errors and larger margins. https://www.simplilearn.com/ice9/free_resources_article_thumb/machine-learning-certification-video-preview.jpg SVM: Regularization The concept of C is the reverse of regularization. Higher C means lower regularization, which increases bias and lowers the variance (causing overfitting). https://www.simplilearn.com/ice9/free_resources_article_thumb/concept-of-c-graph-machine-learning.JPG IRIS Data Set The Iris dataset contains measurements of 150 IRIS flowers from three different species: Setosa Versicolor Viriginica Each row represents one sample. Flower measurements in centimeters are stored as columns. These are called features. IRIS Data Set: SVM Let’s train an SVM model using sci-kit-learn for the Iris dataset: https://www.simplilearn.com/ice9/free_resources_article_thumb/svm-model-graph-machine-learning.JPG Nonlinear SVM Classification There are two ways to solve nonlinear SVMs: by adding polynomial features by adding similarity features Polynomial features can be added to datasets; in some cases, this can create a linearly separable dataset. https://www.simplilearn.com/ice9/free_resources_article_thumb/nonlinear-classification-svm-machine-learning.JPG In the figure on the left, there is only 1 feature x1. This dataset is not linearly separable. If you add x2 = (x1)2 (figure on the right), the data becomes linearly separable. Polynomial Kernel In sci-kit-learn, one can use a Pipeline class for creating polynomial features. Classification results for the Moons dataset are shown in the figure. https://www.simplilearn.com/ice9/free_resources_article_thumb/polynomial-kernel-machine-learning.JPG Polynomial Kernel with Kernel Trick Let us look at the image below and understand Kernel Trick in detail. https://www.simplilearn.com/ice9/free_resources_article_thumb/polynomial-kernel-with-kernel-trick.JPG For large dimensional datasets, adding too many polynomial features can slow down the model. You can apply a kernel trick with the effect of polynomial features without actually adding them. The code is shown (SVC class) below trains an SVM classifier using a 3rd-degree polynomial kernel but with a kernel trick. https://www.simplilearn.com/ice9/free_resources_article_thumb/polynomial-kernel-equation-machine-learning.JPG The hyperparameter coefθ controls the influence of high-degree polynomials. Kernel SVM Let us understand in detail about Kernel SVM. Kernel SVMs are used for classification of nonlinear data. In the chart, nonlinear data is projected into a higher dimensional space via a mapping function where it becomes linearly separable. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-machine-learning.JPG In the higher dimension, a linear separating hyperplane can be derived and used for classification. A reverse projection of the higher dimension back to original feature space takes it back to nonlinear shape. As mentioned previously, SVMs can be kernelized to solve nonlinear classification problems. You can create a sample dataset for XOR gate (nonlinear problem) from NumPy. 100 samples will be assigned the class sample 1, and 100 samples will be assigned the class label -1. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-graph-machine-learning.JPG As you can see, this data is not linearly separable. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-non-separable.JPG You now use the kernel trick to classify XOR dataset created earlier. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-xor-machine-learning.JPG Naïve Bayes Classifier What is Naive Bayes Classifier? Have you ever wondered how your mail provider implements spam filtering or how online news channels perform news text classification or even how companies perform sentiment analysis of their audience on social media? All of this and more are done through a machine learning algorithm called Naive Bayes Classifier. Naive Bayes Named after Thomas Bayes from the 1700s who first coined this in the Western literature. Naive Bayes classifier works on the principle of conditional probability as given by the Bayes theorem. Advantages of Naive Bayes Classifier Listed below are six benefits of Naive Bayes Classifier. Very simple and easy to implement Needs less training data Handles both continuous and discrete data Highly scalable with the number of predictors and data points As it is fast, it can be used in real-time predictions Not sensitive to irrelevant features Bayes Theorem We will understand Bayes Theorem in detail from the points mentioned below. According to the Bayes model, the conditional probability P(Y|X) can be calculated as: P(Y|X) = P(X|Y)P(Y) / P(X) This means you have to estimate a very large number of P(X|Y) probabilities for a relatively small vector space X. For example, for a Boolean Y and 30 possible Boolean attributes in the X vector, you will have to estimate 3 billion probabilities P(X|Y). To make it practical, a Naïve Bayes classifier is used, which assumes conditional independence of P(X) to each other, with a given value of Y. This reduces the number of probability estimates to 2*30=60 in the above example. Naïve Bayes Classifier for SMS Spam Detection Consider a labeled SMS database having 5574 messages. It has messages as given below: https://www.simplilearn.com/ice9/free_resources_article_thumb/naive-bayes-spam-machine-learning.JPG Each message is marked as spam or ham in the data set. Let’s train a model with Naïve Bayes algorithm to detect spam from ham. The message lengths and their frequency (in the training dataset) are as shown below: https://www.simplilearn.com/ice9/free_resources_article_thumb/naive-bayes-spam-spam-detection.JPG Analyze the logic you use to train an algorithm to detect spam: Split each message into individual words/tokens (bag of words). Lemmatize the data (each word takes its base form, like “walking” or “walked” is replaced with “walk”). Convert data to vectors using scikit-learn module CountVectorizer. Run TFIDF to remove common words like “is,” “are,” “and.” Now apply scikit-learn module for Naïve Bayes MultinomialNB to get the Spam Detector. This spam detector can then be used to classify a random new message as spam or ham. Next, the accuracy of the spam detector is checked using the Confusion Matrix. For the SMS spam example above, the confusion matrix is shown on the right. Accuracy Rate = Correct / Total = (4827 + 592)/5574 = 97.21% Error Rate = Wrong / Total = (155 + 0)/5574 = 2.78% https://www.simplilearn.com/ice9/free_resources_article_thumb/confusion-matrix-machine-learning.JPG Although confusion Matrix is useful, some more precise metrics are provided by Precision and Recall. https://www.simplilearn.com/ice9/free_resources_article_thumb/precision-recall-matrix-machine-learning.JPG Precision refers to the accuracy of positive predictions. https://www.simplilearn.com/ice9/free_resources_article_thumb/precision-formula-machine-learning.JPG Recall refers to the ratio of positive instances that are correctly detected by the classifier (also known as True positive rate or TPR). https://www.simplilearn.com/ice9/free_resources_article_thumb/recall-formula-machine-learning.JPG Precision/Recall Trade-off To detect age-appropriate videos for kids, you need high precision (low recall) to ensure that only safe videos make the cut (even though a few safe videos may be left out). The high recall is needed (low precision is acceptable) in-store surveillance to catch shoplifters; a few false alarms are acceptable, but all shoplifters must be caught. Learn about Naive Bayes in detail. Click here! Decision Tree Classifier Some aspects of the Decision Tree Classifier mentioned below are. Decision Trees (DT) can be used both for classification and regression. The advantage of decision trees is that they require very little data preparation. They do not require feature scaling or centering at all. They are also the fundamental components of Random Forests, one of the most powerful ML algorithms. Unlike Random Forests and Neural Networks (which do black-box modeling), Decision Trees are white box models, which means that inner workings of these models are clearly understood. In the case of classification, the data is segregated based on a series of questions. Any new data point is assigned to the selected leaf node. https://www.simplilearn.com/ice9/free_resources_article_thumb/decision-tree-classifier-machine-learning.JPG Start at the tree root and split the data on the feature using the decision algorithm, resulting in the largest information gain (IG). This splitting procedure is then repeated in an iterative process at each child node until the leaves are pure. This means that the samples at each node belonging to the same class. In practice, you can set a limit on the depth of the tree to prevent overfitting. The purity is compromised here as the final leaves may still have some impurity. The figure shows the classification of the Iris dataset. https://www.simplilearn.com/ice9/free_resources_article_thumb/decision-tree-classifier-graph.JPG IRIS Decision Tree Let’s build a Decision Tree using scikit-learn for the Iris flower dataset and also visualize it using export_graphviz API. https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-decision-tree-machine-learning.JPG The output of export_graphviz can be converted into png format: https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-decision-tree-output.JPG Sample attribute stands for the number of training instances the node applies to. Value attribute stands for the number of training instances of each class the node applies to. Gini impurity measures the node’s impurity. A node is “pure” (gini=0) if all training instances it applies to belong to the same class. https://www.simplilearn.com/ice9/free_resources_article_thumb/impurity-formula-machine-learning.JPG For example, for Versicolor (green color node), the Gini is 1-(0/54)2 -(49/54)2 -(5/54) 2 ≈ 0.168 https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-decision-tree-sample.JPG Decision Boundaries Let us learn to create decision boundaries below. For the first node (depth 0), the solid line splits the data (Iris-Setosa on left). Gini is 0 for Setosa node, so no further split is possible. The second node (depth 1) splits the data into Versicolor and Virginica. If max_depth were set as 3, a third split would happen (vertical dotted line). https://www.simplilearn.com/ice9/free_resources_article_thumb/decision-tree-boundaries.JPG For a sample with petal length 5 cm and petal width 1.5 cm, the tree traverses to depth 2 left node, so the probability predictions for this sample are 0% for Iris-Setosa (0/54), 90.7% for Iris-Versicolor (49/54), and 9.3% for Iris-Virginica (5/54) CART Training Algorithm Scikit-learn uses Classification and Regression Trees (CART) algorithm to train Decision Trees. CART algorithm: Split the data into two subsets using a single feature k and threshold tk (example, petal length < “2.45 cm”). This is done recursively for each node. k and tk are chosen such that they produce the purest subsets (weighted by their size). The objective is to minimize the cost function as given below: https://www.simplilearn.com/ice9/free_resources_article_thumb/cart-training-algorithm-machine-learning.JPG The algorithm stops executing if one of the following situations occurs: max_depth is reached No further splits are found for each node Other hyperparameters may be used to stop the tree: min_samples_split min_samples_leaf min_weight_fraction_leaf max_leaf_nodes Gini Impurity or Entropy Entropy is one more measure of impurity and can be used in place of Gini. https://www.simplilearn.com/ice9/free_resources_article_thumb/gini-impurity-entrophy.JPG It is a degree of uncertainty, and Information Gain is the reduction that occurs in entropy as one traverses down the tree. Entropy is zero for a DT node when the node contains instances of only one class. Entropy for depth 2 left node in the example given above is: https://www.simplilearn.com/ice9/free_resources_article_thumb/entrophy-for-depth-2.JPG Gini and Entropy both lead to similar trees. DT: Regularization The following figure shows two decision trees on the moons dataset. https://www.simplilearn.com/ice9/free_resources_article_thumb/dt-regularization-machine-learning.JPG The decision tree on the right is restricted by min_samples_leaf = 4. The model on the left is overfitting, while the model on the right generalizes better. Random Forest Classifier Let us have an understanding of Random Forest Classifier below. A random forest can be considered an ensemble of decision trees (Ensemble learning). Random Forest algorithm: Draw a random bootstrap sample of size n (randomly choose n samples from the training set). Grow a decision tree from the bootstrap sample. At each node, randomly select d features. Split the node using the feature that provides the best split according to the objective function, for instance by maximizing the information gain. Repeat the steps 1 to 2 k times. (k is the number of trees you want to create, using a subset of samples) Aggregate the prediction by each tree for a new data point to assign the class label by majority vote (pick the group selected by the most number of trees and assign new data point to that group). Random Forests are opaque, which means it is difficult to visualize their inner workings. https://www.simplilearn.com/ice9/free_resources_article_thumb/random-forest-classifier-graph.JPG However, the advantages outweigh their limitations since you do not have to worry about hyperparameters except k, which stands for the number of decision trees to be created from a subset of samples. RF is quite robust to noise from the individual decision trees. Hence, you need not prune individual decision trees. The larger the number of decision trees, the more accurate the Random Forest prediction is. (This, however, comes with higher computation cost). Key Takeaways Let us quickly run through what we have learned so far in this Classification tutorial. Classification algorithms are supervised learning methods to split data into classes. They can work on Linear Data as well as Nonlinear Data. Logistic Regression can classify data based on weighted parameters and sigmoid conversion to calculate the probability of classes. K-nearest Neighbors (KNN) algorithm uses similar features to classify data. Support Vector Machines (SVMs) classify data by detecting the maximum margin hyperplane between data classes. Naïve Bayes, a simplified Bayes Model, can help classify data using conditional probability models. Decision Trees are powerful classifiers and use tree splitting logic until pure or somewhat pure leaf node classes are attained. Random Forests apply Ensemble Learning to Decision Trees for more accurate classification predictions. Conclusion This completes ‘Classification’ tutorial. In the next tutorial, we will learn 'Unsupervised Learning with Clustering.'

using Neural Networks (SSD) on Tensorflow. This repo documents steps and scripts used to train a hand detector using Tensorflow (Object Detection API). As with any DNN based task, the most expensive (and riskiest) part of the process has to do with finding or creating the right (annotated) dataset. I was interested mainly in detecting hands on a table (egocentric view point). I experimented first with the [Oxford Hands Dataset](http://www.robots.ox.ac.uk/~vgg/data/hands/) (the results were not good). I then tried the [Egohands Dataset](http://vision.soic.indiana.edu/projects/egohands/) which was a much better fit to my requirements. The goal of this repo/post is to demonstrate how neural networks can be applied to the (hard) problem of tracking hands (egocentric and other views). Better still, provide code that can be adapted to other uses cases. If you use this tutorial or models in your research or project, please cite [this](#citing-this-tutorial). Here is the detector in action. <img src="images/hand1.gif" width="33.3%"><img src="images/hand2.gif" width="33.3%"><img src="images/hand3.gif" width="33.3%"> Realtime detection on video stream from a webcam . <img src="images/chess1.gif" width="33.3%"><img src="images/chess2.gif" width="33.3%"><img src="images/chess3.gif" width="33.3%"> Detection on a Youtube video. Both examples above were run on a macbook pro **CPU** (i7, 2.5GHz, 16GB). Some fps numbers are: | FPS | Image Size | Device| Comments| | ------------- | ------------- | ------------- | ------------- | | 21 | 320 * 240 | Macbook pro (i7, 2.5GHz, 16GB) | Run without visualizing results| | 16 | 320 * 240 | Macbook pro (i7, 2.5GHz, 16GB) | Run while visualizing results (image above) | | 11 | 640 * 480 | Macbook pro (i7, 2.5GHz, 16GB) | Run while visualizing results (image above) | > Note: The code in this repo is written and tested with Tensorflow `1.4.0-rc0`. Using a different version may result in [some errors](https://github.com/tensorflow/models/issues/1581). You may need to [generate your own frozen model](https://pythonprogramming.net/testing-custom-object-detector-tensorflow-object-detection-api-tutorial/?completed=/training-custom-objects-tensorflow-object-detection-api-tutorial/) graph using the [model checkpoints](model-checkpoint) in the repo to fit your TF version. **Content of this document** - Motivation - Why Track/Detect hands with Neural Networks - Data preparation and network training in Tensorflow (Dataset, Import, Training) - Training the hand detection Model - Using the Detector to Detect/Track hands - Thoughts on Optimizations. > P.S if you are using or have used the models provided here, feel free to reach out on twitter ([@vykthur](https://twitter.com/vykthur)) and share your work! ## Motivation - Why Track/Detect hands with Neural Networks? There are several existing approaches to tracking hands in the computer vision domain. Incidentally, many of these approaches are rule based (e.g extracting background based on texture and boundary features, distinguishing between hands and background using color histograms and HOG classifiers,) making them not very robust. For example, these algorithms might get confused if the background is unusual or in situations where sharp changes in lighting conditions cause sharp changes in skin color or the tracked object becomes occluded.(see [here for a review](https://www.cse.unr.edu/~bebis/handposerev.pdf) paper on hand pose estimation from the HCI perspective) With sufficiently large datasets, neural networks provide opportunity to train models that perform well and address challenges of existing object tracking/detection algorithms - varied/poor lighting, noisy environments, diverse viewpoints and even occlusion. The main drawbacks to usage for real-time tracking/detection is that they can be complex, are relatively slow compared to tracking-only algorithms and it can be quite expensive to assemble a good dataset. But things are changing with advances in fast neural networks. Furthermore, this entire area of work has been made more approachable by deep learning frameworks (such as the tensorflow object detection api) that simplify the process of training a model for custom object detection. More importantly, the advent of fast neural network models like ssd, faster r-cnn, rfcn (see [here](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md#coco-trained-models-coco-models) ) etc make neural networks an attractive candidate for real-time detection (and tracking) applications. Hopefully, this repo demonstrates this. > If you are not interested in the process of training the detector, you can skip straight to applying the [pretrained model I provide in detecting hands](#detecting-hands). Training a model is a multi-stage process (assembling dataset, cleaning, splitting into training/test partitions and generating an inference graph). While I lightly touch on the details of these parts, there are a few other tutorials cover training a custom object detector using the tensorflow object detection api in more detail[ see [here](https://pythonprogramming.net/training-custom-objects-tensorflow-object-detection-api-tutorial/) and [here](https://towardsdatascience.com/how-to-train-your-own-object-detector-with-tensorflows-object-detector-api-bec72ecfe1d9) ]. I recommend you walk through those if interested in training a custom object detector from scratch. ## Data preparation and network training in Tensorflow (Dataset, Import, Training) **The Egohands Dataset** The hand detector model is built using data from the [Egohands Dataset](http://vision.soic.indiana.edu/projects/egohands/) dataset. This dataset works well for several reasons. It contains high quality, pixel level annotations (>15000 ground truth labels) where hands are located across 4800 images. All images are captured from an egocentric view (Google glass) across 48 different environments (indoor, outdoor) and activities (playing cards, chess, jenga, solving puzzles etc). <img src="images/egohandstrain.jpg" width="100%"> If you will be using the Egohands dataset, you can cite them as follows: > Bambach, Sven, et al. "Lending a hand: Detecting hands and recognizing activities in complex egocentric interactions." Proceedings of the IEEE International Conference on Computer Vision. 2015. The Egohands dataset (zip file with labelled data) contains 48 folders of locations where video data was collected (100 images per folder). ``` -- LOCATION_X -- frame_1.jpg -- frame_2.jpg ... -- frame_100.jpg -- polygons.mat // contains annotations for all 100 images in current folder -- LOCATION_Y -- frame_1.jpg -- frame_2.jpg ... -- frame_100.jpg -- polygons.mat // contains annotations for all 100 images in current folder ``` **Converting data to Tensorflow Format** Some initial work needs to be done to the Egohands dataset to transform it into the format (`tfrecord`) which Tensorflow needs to train a model. This repo contains `egohands_dataset_clean.py` a script that will help you generate these csv files. - Downloads the egohands datasets - Renames all files to include their directory names to ensure each filename is unique - Splits the dataset into train (80%), test (10%) and eval (10%) folders. - Reads in `polygons.mat` for each folder, generates bounding boxes and visualizes them to ensure correctness (see image above). - Once the script is done running, you should have an images folder containing three folders - train, test and eval. Each of these folders should also contain a csv label document each - `train_labels.csv`, `test_labels.csv` that can be used to generate `tfrecords` Note: While the egohands dataset provides four separate labels for hands (own left, own right, other left, and other right), for my purpose, I am only interested in the general `hand` class and label all training data as `hand`. You can modify the data prep script to generate `tfrecords` that support 4 labels. Next: convert your dataset + csv files to tfrecords. A helpful guide on this can be found [here](https://pythonprogramming.net/creating-tfrecord-files-tensorflow-object-detection-api-tutorial/).For each folder, you should be able to generate `train.record`, `test.record` required in the training process. ## Training the hand detection Model Now that the dataset has been assembled (and your tfrecords), the next task is to train a model based on this. With neural networks, it is possible to use a process called [transfer learning](https://www.tensorflow.org/tutorials/image_retraining) to shorten the amount of time needed to train the entire model. This means we can take an existing model (that has been trained well on a related domain (here image classification) and retrain its final layer(s) to detect hands for us. Sweet!. Given that neural networks sometimes have thousands or millions of parameters that can take weeks or months to train, transfer learning helps shorten training time to possibly hours. Tensorflow does offer a few models (in the tensorflow [model zoo](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md#coco-trained-models-coco-models)) and I chose to use the `ssd_mobilenet_v1_coco` model as my start point given it is currently (one of) the fastest models (read the SSD research [paper here](https://arxiv.org/pdf/1512.02325.pdf)). The training process can be done locally on your CPU machine which may take a while or better on a (cloud) GPU machine (which is what I did). For reference, training on my macbook pro (tensorflow compiled from source to take advantage of the mac's cpu architecture) the maximum speed I got was 5 seconds per step as opposed to the ~0.5 seconds per step I got with a GPU. For reference it would take about 12 days to run 200k steps on my mac (i7, 2.5GHz, 16GB) compared to ~5hrs on a GPU. > **Training on your own images**: Please use the [guide provided by Harrison from pythonprogramming](https://pythonprogramming.net/training-custom-objects-tensorflow-object-detection-api-tutorial/) on how to generate tfrecords given your label csv files and your images. The guide also covers how to start the training process if training locally. [see [here] (https://pythonprogramming.net/training-custom-objects-tensorflow-object-detection-api-tutorial/)]. If training in the cloud using a service like GCP, see the [guide here](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/running_on_cloud.md). As the training process progresses, the expectation is that total loss (errors) gets reduced to its possible minimum (about a value of 1 or thereabout). By observing the tensorboard graphs for total loss(see image below), it should be possible to get an idea of when the training process is complete (total loss does not decrease with further iterations/steps). I ran my training job for 200k steps (took about 5 hours) and stopped at a total Loss (errors) value of 2.575.(In retrospect, I could have stopped the training at about 50k steps and gotten a similar total loss value). With tensorflow, you can also run an evaluation concurrently that assesses your model to see how well it performs on the test data. A commonly used metric for performance is mean average precision (mAP) which is single number used to summarize the area under the precision-recall curve. mAP is a measure of how well the model generates a bounding box that has at least a 50% overlap with the ground truth bounding box in our test dataset. For the hand detector trained here, the mAP value was **0.9686@0.5IOU**. mAP values range from 0-1, the higher the better. <img src="images/accuracy.jpg" width="100%"> Once training is completed, the trained inference graph (`frozen_inference_graph.pb`) is then exported (see the earlier referenced guides for how to do this) and saved in the `hand_inference_graph` folder. Now its time to do some interesting detection. ## Using the Detector to Detect/Track hands If you have not done this yet, please following the guide on installing [Tensorflow and the Tensorflow object detection api](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md). This will walk you through setting up the tensorflow framework, cloning the tensorflow github repo and a guide on - Load the `frozen_inference_graph.pb` trained on the hands dataset as well as the corresponding label map. In this repo, this is done in the `utils/detector_utils.py` script by the `load_inference_graph` method. ```python detection_graph = tf.Graph() with detection_graph.as_default(): od_graph_def = tf.GraphDef() with tf.gfile.GFile(PATH_TO_CKPT, 'rb') as fid: serialized_graph = fid.read() od_graph_def.ParseFromString(serialized_graph) tf.import_graph_def(od_graph_def, name='') sess = tf.Session(graph=detection_graph) print("> ====== Hand Inference graph loaded.") ``` - Detect hands. In this repo, this is done in the `utils/detector_utils.py` script by the `detect_objects` method. ```python (boxes, scores, classes, num) = sess.run( [detection_boxes, detection_scores, detection_classes, num_detections], feed_dict={image_tensor: image_np_expanded}) ``` - Visualize detected bounding detection_boxes. In this repo, this is done in the `utils/detector_utils.py` script by the `draw_box_on_image` method. This repo contains two scripts that tie all these steps together. - detect_multi_threaded.py : A threaded implementation for reading camera video input detection and detecting. Takes a set of command line flags to set parameters such as `--display` (visualize detections), image parameters `--width` and `--height`, videe `--source` (0 for camera) etc. - detect_single_threaded.py : Same as above, but single threaded. This script works for video files by setting the video source parameter videe `--source` (path to a video file). ```cmd # load and run detection on video at path "videos/chess.mov" python detect_single_threaded.py --source videos/chess.mov ``` > Update: If you do have errors loading the frozen inference graph in this repo, feel free to generate a new graph that fits your TF version from the model-checkpoint in this repo. Use the [export_inference_graph.py](https://github.com/tensorflow/models/blob/master/research/object_detection/export_inference_graph.py) script provided in the tensorflow object detection api repo. More guidance on this [here](https://pythonprogramming.net/testing-custom-object-detector-tensorflow-object-detection-api-tutorial/?completed=/training-custom-objects-tensorflow-object-detection-api-tutorial/). ## Thoughts on Optimization. A few things that led to noticeable performance increases. - Threading: Turns out that reading images from a webcam is a heavy I/O event and if run on the main application thread can slow down the program. I implemented some good ideas from [Adrian Rosebuck](https://www.pyimagesearch.com/2017/02/06/faster-video-file-fps-with-cv2-videocapture-and-opencv/) on parrallelizing image capture across multiple worker threads. This mostly led to an FPS increase of about 5 points. - For those new to Opencv, images from the `cv2.read()` method return images in [BGR format](https://www.learnopencv.com/why-does-opencv-use-bgr-color-format/). Ensure you convert to RGB before detection (accuracy will be much reduced if you dont). ```python cv2.cvtColor(image_np, cv2.COLOR_BGR2RGB) ``` - Keeping your input image small will increase fps without any significant accuracy drop.(I used about 320 x 240 compared to the 1280 x 720 which my webcam provides). - Model Quantization. Moving from the current 32 bit to 8 bit can achieve up to 4x reduction in memory required to load and store models. One way to further speed up this model is to explore the use of [8-bit fixed point quantization](https://heartbeat.fritz.ai/8-bit-quantization-and-tensorflow-lite-speeding-up-mobile-inference-with-low-precision-a882dfcafbbd). Performance can also be increased by a clever combination of tracking algorithms with the already decent detection and this is something I am still experimenting with. Have ideas for optimizing better, please share! <img src="images/general.jpg" width="100%"> Note: The detector does reflect some limitations associated with the training set. This includes non-egocentric viewpoints, very noisy backgrounds (e.g in a sea of hands) and sometimes skin tone. There is opportunity to improve these with additional data. ## Integrating Multiple DNNs. One way to make things more interesting is to integrate our new knowledge of where "hands" are with other detectors trained to recognize other objects. Unfortunately, while our hand detector can in fact detect hands, it cannot detect other objects (a factor or how it is trained). To create a detector that classifies multiple different objects would mean a long involved process of assembling datasets for each class and a lengthy training process. > Given the above, a potential strategy is to explore structures that allow us **efficiently** interleave output form multiple pretrained models for various object classes and have them detect multiple objects on a single image. An example of this is with my primary use case where I am interested in understanding the position of objects on a table with respect to hands on same table. I am currently doing some work on a threaded application that loads multiple detectors and outputs bounding boxes on a single image. More on this soon.

Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights Merge branch 'main' into 1862-Add-Travis-CI-migration-table 1862-Add-Travis-CI-migration-table (#1869, Iixixi/ZachryTylerWood#102, THEBOLCK79/docs#1, sbnbhk/docs#1) @martin389 martin389 committed on Dec 9, 2020 2 parents 2f9ec0c + 1588f50 commit 1a56ed136914e522f3a23ecc2be1c49f479a1a6a Showing 501 changed files with 5,397 additions and 1,362 deletions. 2 .github/allowed-actions.js @@ -30,7 +30,7 @@ module.exports = [ 'rachmari/labeler@832d42ec5523f3c6d46e8168de71cd54363e3e2e', 'repo-sync/github-sync@3832fe8e2be32372e1b3970bbae8e7079edeec88', 'repo-sync/pull-request@33777245b1aace1a58c87a29c90321aa7a74bd7d', 'rtCamp/action-slack-notify@e17352feaf9aee300bf0ebc1dfbf467d80438815', 'someimportantcompany/github-actions-slack-message@0b470c14b39da4260ed9e3f9a4f1298a74ccdefd', 'tjenkinson/gh-action-auto-merge-dependency-updates@cee2ac0', 'EndBug/add-and-commit@9358097a71ad9fb9e2f9624c6098c89193d83575' ] 72 .github/workflows/confirm-internal-staff-work-in-docs.yml @@ -0,0 +1,72 @@ name: Confirm internal staff meant to post in public on: issues: types: - opened - reopened - transferred pull_request_target: types: - opened - reopened jobs: check-team-membership: runs-on: ubuntu-latest continue-on-error: true if: github.repository == 'github/docs' steps: - uses: actions/github-script@626af12fe9a53dc2972b48385e7fe7dec79145c9 with: github-token: ${{ secrets.DOCUBOT_FR_PROJECT_BOARD_WORKFLOWS_REPO_ORG_READ_SCOPES }} script: | // Only perform this action with GitHub employees try { await github.teams.getMembershipForUserInOrg({ org: 'github', team_slug: 'employees', username: context.payload.sender.login, }); } catch(err) { // An error will be thrown if the user is not a GitHub employee // If a user is not a GitHub employee, we should stop here and // Not send a notification return } // Don't perform this action with Docs team members try { await github.teams.getMembershipForUserInOrg({ org: 'github', team_slug: 'docs', username: context.payload.sender.login, }); // If the user is a Docs team member, we should stop here and not send // a notification return } catch(err) { // An error will be thrown if the user is not a Docs team member // If a user is not a Docs team member we should continue and send // the notification } const issueNo = context.number || context.issue.number // Create an issue in our private repo await github.issues.create({ owner: 'github', repo: 'docs-internal', title: `@${context.payload.sender.login} confirm that \#${issueNo} should be in the public github/docs repo`, body: `@${context.payload.sender.login} opened https://github.com/github/docs/issues/${issueNo} publicly in the github/docs repo, instead of the private github/docs-internal repo.\n\n@${context.payload.sender.login}, please confirm that this belongs in the public repo and that no sensitive information was disclosed by commenting below and closing the issue.\n\nIf this was not intentional and sensitive information was shared, please delete https://github.com/github/docs/issues/${issueNo} and notify us in the \#docs-open-source channel.\n\nThanks! \n\n/cc @github/docs @github/docs-engineering` }); throw new Error('A Hubber opened an issue on the public github/docs repo'); - name: Send Slack notification if a GitHub employee who isn't on the docs team opens an issue in public if: ${{ failure() && github.repository == 'github/docs' }} uses: someimportantcompany/github-actions-slack-message@0b470c14b39da4260ed9e3f9a4f1298a74ccdefd with: channel: ${{ secrets.DOCS_OPEN_SOURCE_SLACK_CHANNEL_ID }} bot-token: ${{ secrets.SLACK_DOCS_BOT_TOKEN }} text: <@${{github.actor}}> opened https://github.com/github/docs/issues/${{ github.event.number || github.event.issue.number }} publicly on the github/docs repo instead of the private github/docs-internal repo. They have been notified via a new issue in the github/docs-internal repo to confirm this was intentional. 15 .github/workflows/js-lint.yml @@ -10,23 +10,8 @@ on: - translations jobs: see_if_should_skip: runs-on: ubuntu-latest outputs: should_skip: ${{ steps.skip_check.outputs.should_skip }} steps: - id: skip_check uses: fkirc/skip-duplicate-actions@36feb0d8d062137530c2e00bd278d138fe191289 with: cancel_others: 'false' github_token: ${{ github.token }} paths: '["**/*.js", "package*.json", ".github/workflows/js-lint.yml", ".eslint*"]' lint: runs-on: ubuntu-latest needs: see_if_should_skip if: ${{ needs.see_if_should_skip.outputs.should_skip != 'true' }} steps: - name: Check out repo uses: actions/checkout@5a4ac9002d0be2fb38bd78e4b4dbde5606d7042f 13 .github/workflows/repo-freeze-reminders.yml @@ -14,11 +14,10 @@ jobs: if: github.repository == 'github/docs-internal' steps: - name: Send Slack notification if repo is frozen uses: someimportantcompany/github-actions-slack-message@0b470c14b39da4260ed9e3f9a4f1298a74ccdefd if: ${{ env.FREEZE == 'true' }} uses: rtCamp/action-slack-notify@e17352feaf9aee300bf0ebc1dfbf467d80438815 env: SLACK_WEBHOOK: ${{ secrets.DOCS_ALERTS_SLACK_WEBHOOK }} SLACK_USERNAME: docs-repo-sync SLACK_ICON_EMOJI: ':freezing_face:' SLACK_COLOR: '#51A0D5' # Carolina Blue SLACK_MESSAGE: All repo-sync runs will fail for ${{ github.repository }} because the repo is currently frozen! with: channel: ${{ secrets.DOCS_ALERTS_SLACK_CHANNEL_ID }} bot-token: ${{ secrets.SLACK_DOCS_BOT_TOKEN }} color: info text: All repo-sync runs will fail for ${{ github.repository }} because the repo is currently frozen! 54 .github/workflows/repo-sync-stalls.yml @@ -0,0 +1,54 @@ name: Repo Sync Stalls on: workflow_dispatch: schedule: - cron: '*/30 * * * *' jobs: check-freezer: name: Check for deployment freezes runs-on: ubuntu-latest steps: - name: Exit if repo is frozen if: ${{ env.FREEZE == 'true' }} run: | echo 'The repo is currently frozen! Exiting this workflow.' exit 1 # prevents further steps from running repo-sync-stalls: runs-on: ubuntu-latest steps: - name: Check if repo sync is stalled uses: actions/github-script@626af12fe9a53dc2972b48385e7fe7dec79145c9 with: github-token: ${{ secrets.DOCUBOT_FR_PROJECT_BOARD_WORKFLOWS_REPO_ORG_READ_SCOPES }} script: | let pulls; const owner = context.repo.owner const repo = context.repo.repo try { pulls = await github.pulls.list({ owner: owner, repo: repo, head: `${owner}:repo-sync`, state: 'open' }); } catch(err) { throw err return } pulls.data.forEach(pr => { const timeDelta = Date.now() - Date.parse(pr.created_at); const minutesOpen = timeDelta / 1000 / 60; if (minutesOpen > 30) { core.setFailed('Repo sync appears to be stalled') } }) - name: Send Slack notification if workflow fails uses: someimportantcompany/github-actions-slack-message@0b470c14b39da4260ed9e3f9a4f1298a74ccdefd if: failure() with: channel: ${{ secrets.DOCS_ALERTS_SLACK_CHANNEL_ID }} bot-token: ${{ secrets.SLACK_DOCS_BOT_TOKEN }} color: failure text: Repo sync appears to be stalled for ${{github.repository}}. See https://github.com/${{github.repository}}/pulls?q=is%3Apr+is%3Aopen+repo+sync 16 .github/workflows/repo-sync.yml @@ -7,6 +7,7 @@ name: Repo Sync on: workflow_dispatch: schedule: - cron: '*/15 * * * *' # every 15 minutes @@ -70,11 +71,10 @@ jobs: number: ${{ steps.find-pull-request.outputs.number }} - name: Send Slack notification if workflow fails uses: rtCamp/action-slack-notify@e17352feaf9aee300bf0ebc1dfbf467d80438815 if: ${{ failure() }} env: SLACK_WEBHOOK: ${{ secrets.DOCS_ALERTS_SLACK_WEBHOOK }} SLACK_USERNAME: docs-repo-sync SLACK_ICON_EMOJI: ':ohno:' SLACK_COLOR: '#B90E0A' # Crimson SLACK_MESSAGE: The last repo-sync run for ${{github.repository}} failed. See https://github.com/${{github.repository}}/actions?query=workflow%3A%22Repo+Sync%22 uses: someimportantcompany/github-actions-slack-message@0b470c14b39da4260ed9e3f9a4f1298a74ccdefd if: failure() with: channel: ${{ secrets.DOCS_ALERTS_SLACK_CHANNEL_ID }} bot-token: ${{ secrets.SLACK_DOCS_BOT_TOKEN }} color: failure text: The last repo-sync run for ${{github.repository}} failed. See https://github.com/${{github.repository}}/actions?query=workflow%3A%22Repo+Sync%22 10 .github/workflows/sync-algolia-search-indices.yml @@ -33,8 +33,10 @@ jobs: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} run: npm run sync-search - name: Send slack notification if workflow run fails uses: rtCamp/action-slack-notify@e17352feaf9aee300bf0ebc1dfbf467d80438815 uses: someimportantcompany/github-actions-slack-message@0b470c14b39da4260ed9e3f9a4f1298a74ccdefd if: failure() env: SLACK_WEBHOOK: ${{ secrets.DOCS_ALERTS_SLACK_WEBHOOK }} SLACK_MESSAGE: The last Algolia workflow run for ${{github.repository}} failed. Search actions for `workflow:Algolia` with: channel: ${{ secrets.DOCS_ALERTS_SLACK_CHANNEL_ID }} bot-token: ${{ secrets.SLACK_DOCS_BOT_TOKEN }} color: failure text: The last Algolia workflow run for ${{github.repository}} failed. Search actions for `workflow:Algolia` 15 .github/workflows/yml-lint.yml @@ -10,23 +10,8 @@ on: - translations jobs: see_if_should_skip: runs-on: ubuntu-latest outputs: should_skip: ${{ steps.skip_check.outputs.should_skip }} steps: - id: skip_check uses: fkirc/skip-duplicate-actions@36feb0d8d062137530c2e00bd278d138fe191289 with: cancel_others: 'false' github_token: ${{ github.token }} paths: '["**/*.yml", "**/*.yaml", "package*.json", ".github/workflows/yml-lint.yml"]' lint: runs-on: ubuntu-latest needs: see_if_should_skip if: ${{ needs.see_if_should_skip.outputs.should_skip != 'true' }} steps: - name: Check out repo uses: actions/checkout@5a4ac9002d0be2fb38bd78e4b4dbde5606d7042f 4 README.md @@ -28,7 +28,7 @@ If you've found a problem, you can open an issue using a [template](https://gith #### Solve an issue If you have a solution to one of the open issues, you will need to fork the repository and submit a PR using the [template](https://github.com/github/docs/blob/main/CONTRIBUTING.md#pull-request-template) that is visible automatically in the pull request body. For more details about this process, please check out [Getting Started with Contributing](/CONTRIBUTING.md). If you have a solution to one of the open issues, you will need to fork the repository and submit a pull request using the [template](https://github.com/github/docs/blob/main/CONTRIBUTING.md#pull-request-template) that is visible automatically in the pull request body. For more details about this process, please check out [Getting Started with Contributing](/CONTRIBUTING.md). #### Join us in discussions @@ -50,6 +50,8 @@ There are a few more things to know when you're getting started with this repo: In addition to the README you're reading right now, this repo includes other READMEs that describe the purpose of each subdirectory in more detail: - [content/README.md](content/README.md) - [content/graphql/README.md](content/graphql/README.md) - [content/rest/README.md](content/rest/README.md) - [contributing/README.md](contributing/README.md) - [data/README.md](data/README.md) - [data/reusables/README.md](data/reusables/README.md) BIN +164 KB assets/images/help/classroom/assignment-group-hero.png Binary file not shown. BIN +75.5 KB assets/images/help/classroom/assignment-ide-go-grant-access-button.png Binary file not shown. BIN +175 KB assets/images/help/classroom/assignment-individual-hero.png Binary file not shown. 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You should see "Hello Mona the Octocat" or the name you used for the `who-to-greet` input and the timestamp printed in the log. From your repository, click the **Actions** tab, and select the latest workflow run. {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %}Under **Jobs** or in the visualization graph, click **A job to say hello**. {% endif %}You should see "Hello Mona the Octocat" or the name you used for the `who-to-greet` input and the timestamp printed in the log. {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %}  {% else %}  {% endif %} 6 content/actions/creating-actions/creating-a-javascript-action.md @@ -261,9 +261,11 @@ jobs: ``` {% endraw %} From your repository, click the **Actions** tab, and select the latest workflow run. You should see "Hello Mona the Octocat" or the name you used for the `who-to-greet` input and the timestamp printed in the log. From your repository, click the **Actions** tab, and select the latest workflow run. {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %}Under **Jobs** or in the visualization graph, click **A job to say hello**. {% endif %}You should see "Hello Mona the Octocat" or the name you used for the `who-to-greet` input and the timestamp printed in the log. {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@2.22" %} {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %}  {% elsif currentVersion ver_gt "enterprise-server@2.22" %}  {% else %}  4 content/actions/guides/about-packaging-with-github-actions.md @@ -25,7 +25,11 @@ Creating a package at the end of a continuous integration workflow can help duri Now, when reviewing a pull request, you'll be able to look at the workflow run and download the artifact that was produced. {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %}  {% else %}  {% endif %} This will let you run the code in the pull request on your machine, which can help with debugging or testing the pull request. 4 content/actions/guides/building-and-testing-powershell.md @@ -60,7 +60,11 @@ jobs: * `run: Test-Path resultsfile.log` - Check whether a file called `resultsfile.log` is present in the repository's root directory. * `Should -Be $true` - Uses Pester to define an expected result. If the result is unexpected, then {% data variables.product.prodname_actions %} flags this as a failed test. For example: {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %}  {% else %}  {% endif %} * `Invoke-Pester Unit.Tests.ps1 -Passthru` - Uses Pester to execute tests defined in a file called `Unit.Tests.ps1`. For example, to perform the same test described above, the `Unit.Tests.ps1` will contain the following: ``` 7 content/actions/guides/storing-workflow-data-as-artifacts.md @@ -108,8 +108,6 @@ jobs: path: output/test/code-coverage.html ```  {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@2.22" %} ### Configuring a custom artifact retention period @@ -238,7 +236,12 @@ jobs: echo The result is $value ``` The workflow run will archive any artifacts that it generated. For more information on downloading archived artifacts, see "[Downloading workflow artifacts](/actions/managing-workflow-runs/downloading-workflow-artifacts)." {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %}  {% else %}  {% endif %} {% if currentVersion == "free-pro-team@latest" %} 8 content/actions/index.md @@ -68,18 +68,18 @@ versions: <h2 class="mb-2 font-mktg h1">Code examples</h2> <div class="pr-lg-3 mb-5 mt-3"> <input class="js-code-example-filter input-lg py-2 px-3 col-12 col-lg-8 form-control" placeholder="Search code examples" type="search" autocomplete="off" aria-label="Search code examples"/> <input class="js-filter-card-filter input-lg py-2 px-3 col-12 col-lg-8 form-control" placeholder="Search code examples" type="search" autocomplete="off" aria-label="Search code examples"/> </div> <div class="d-flex flex-wrap gutter"> {% render 'code-example-card' for actionsCodeExamples as example %} </div> <button class="js-code-example-show-more btn btn-outline float-right">Show more {% octicon "arrow-right" %}</button> <button class="js-filter-card-show-more btn btn-outline float-right">Show more {% octicon "arrow-right" %}</button> <div class="js-code-example-no-results d-none py-4 text-center text-gray font-mktg"> <div class="js-filter-card-no-results d-none py-4 text-center text-gray font-mktg"> <div class="mb-3">{% octicon "search" width="24" %}</div> <h3 class="text-normal">Sorry, there is no result for <strong class="js-code-example-filter-value"></strong></h3> <h3 class="text-normal">Sorry, there is no result for <strong class="js-filter-card-value"></strong></h3> <p class="my-3 f4">It looks like we don't have an example that fits your filter.<br>Try another filter or add your code example</p> <a href="https://github.com/github/docs/blob/main/data/variables/action_code_examples.yml">Learn how to add a code example {% octicon "arrow-right" %}</a> </div> 11 content/actions/learn-github-actions/introduction-to-github-actions.md @@ -204,7 +204,7 @@ In this diagram, you can see the workflow file you just created and how the {% d ### Viewing the job's activity Once your job has started running, you can view each step's activity on {% data variables.product.prodname_dotcom %}. Once your job has started running, you can {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %}see a visualization graph of the run's progress and {% endif %}view each step's activity on {% data variables.product.prodname_dotcom %}. {% data reusables.repositories.navigate-to-repo %} 1. Under your repository name, click **Actions**. @@ -213,7 +213,14 @@ Once your job has started running, you can view each step's activity on {% data  1. Under "Workflow runs", click the name of the run you want to see.  {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@2.22" %} {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %} 1. Under **Jobs** or in the visualization graph, click the job you want to see.  {% endif %} {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %} 1. View the results of each step.  {% elsif currentVersion ver_gt "enterprise-server@2.22" %} 1. Click on the job name to see the results of each step.  {% else %} 7 content/actions/managing-workflow-runs/canceling-a-workflow.md @@ -17,9 +17,14 @@ versions: {% data reusables.repositories.navigate-to-repo %} {% data reusables.repositories.actions-tab %} {% data reusables.repositories.navigate-to-workflow %} {% data reusables.repositories.view-run %} 1. From the list of workflow runs, click the name of the `queued` or `in progress` run that you want to cancel.  1. In the upper-right corner of the workflow, click **Cancel workflow**. {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %}  {% else %}  {% endif %} ### Steps {% data variables.product.prodname_dotcom %} takes to cancel a workflow run 4 content/actions/managing-workflow-runs/downloading-workflow-artifacts.md @@ -20,4 +20,8 @@ versions: {% data reusables.repositories.navigate-to-workflow %} {% data reusables.repositories.view-run %} 1. Under **Artifacts**, click the artifact you want to download. {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %}  {% else %}  {% endif %} 1 content/actions/managing-workflow-runs/index.md @@ -18,6 +18,7 @@ versions: {% data reusables.actions.enterprise-beta %} {% data reusables.actions.enterprise-github-hosted-runners %} {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %}{% link_in_list /using-the-visualization-graph %}{% endif %} {% link_in_list /viewing-workflow-run-history %} {% link_in_list /using-workflow-run-logs %} {% link_in_list /manually-running-a-workflow %} 3 content/actions/managing-workflow-runs/re-running-a-workflow.md @@ -16,5 +16,4 @@ versions: {% data reusables.repositories.actions-tab %} {% data reusables.repositories.navigate-to-workflow %} {% data reusables.repositories.view-run %} 1. In the upper-right corner of the workflow, use the **Re-run jobs** drop-down menu, and select **Re-run all jobs**.  1. In the upper-right corner of the workflow, use the **Re-run jobs** drop-down menu, and select **Re-run all jobs**.{% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %}{% else %}{% endif %} 4 content/actions/managing-workflow-runs/removing-workflow-artifacts.md @@ -27,7 +27,11 @@ versions: {% data reusables.repositories.navigate-to-workflow %} {% data reusables.repositories.view-run %} 1. Under **Artifacts**, click {% octicon "trashcan" aria-label="The trashcan icon" %} next to the artifact you want to remove. {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %}  {% else %}  {% endif %} {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@2.22" %} ### Setting the retention period for an artifact 23 content/actions/managing-workflow-runs/using-the-visualization-graph.md @@ -0,0 +1,23 @@ --- title: Using the visualization graph intro: Every workflow run generates a real-time graph that illustrates the run progress. You can use this graph to monitor and debug workflows. product: '{% data reusables.gated-features.actions %}' versions: free-pro-team: '*' enterprise-server: '>=3.1' --- {% data reusables.actions.enterprise-beta %} {% data reusables.actions.visualization-beta %} {% data reusables.actions.enterprise-github-hosted-runners %} {% data reusables.repositories.navigate-to-repo %} {% data reusables.repositories.actions-tab %} {% data reusables.repositories.navigate-to-workflow %} {% data reusables.repositories.view-run %} 1. The graph displays each job in the workflow. An icon to the left of the job name indicates the status of the job. Lines between jobs indicate dependencies.  2. Click on a job to view the job log.  18 content/actions/managing-workflow-runs/using-workflow-run-logs.md @@ -45,7 +45,11 @@ You can search the build logs for a particular step. When you search logs, only {% data reusables.repositories.navigate-to-job-superlinter %} {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@2.22" %} 1. In the upper-right corner of the log output, in the **Search logs** search box, type a search query. {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %}  {% else %}  {% endif %} {% else %} 1. To expand each step you want to include in your search, click the step.  @@ -63,8 +67,12 @@ You can download the log files from your workflow run. You can also download a w {% data reusables.repositories.view-run-superlinter %} {% data reusables.repositories.navigate-to-job-superlinter %} {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@2.22" %} 1. In the upper right corner, click {% octicon "kebab-horizontal" aria-label="The horizontal kebab icon" %} and select **Download log archive**. 1. In the upper right corner, click {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %}{% octicon "gear" aria-label="The gear icon" %}{% else %}{% octicon "kebab-horizontal" aria-label="The horizontal kebab icon" %}{% endif %} and select **Download log archive**. {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %}  {% else %}  {% endif %} {% else %} 1. In the upper right corner, click {% octicon "kebab-horizontal" aria-label="The horizontal kebab icon" %} and select **Download log archive**.  @@ -80,9 +88,17 @@ You can delete the log files from your workflow run. {% data reusables.repositor {% data reusables.repositories.view-run-superlinter %} {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@2.22" %} 1. In the upper right corner, click {% octicon "kebab-horizontal" aria-label="The horizontal kebab icon" %}. {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %}  {% else %}  {% endif %} 2. To delete the log files, click the **Delete all logs** button and review the confirmation prompt. {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %}  {% else %}  {% endif %} After deleting logs, the **Delete all logs** button is removed to indicate that no log files remain in the workflow run. {% else %} 1. In the upper right corner, click {% octicon "kebab-horizontal" aria-label="The horizontal kebab icon" %}. 2 content/actions/managing-workflow-runs/viewing-job-execution-time.md @@ -15,7 +15,7 @@ Billable job execution minutes are only shown for jobs run on private repositori {% data reusables.repositories.actions-tab %} {% data reusables.repositories.navigate-to-workflow %} {% data reusables.repositories.view-run %} 1. Under the job summary, you can view the job's execution time. To view the billable job execution time, click **Run and billable time details**. 1. Under the job summary, you can view the job's execution time. To view details about the billable job execution time, click the time under **Billable time**.  {% note %} 5 content/actions/quickstart.md @@ -60,8 +60,13 @@ Committing the workflow file in your repository triggers the `push` event and ru {% data reusables.repositories.actions-tab %} {% data reusables.repositories.navigate-to-workflow-superlinter %} {% data reusables.repositories.view-run-superlinter %} {% if currentVersion == "free-pro-team@latest" or currentVersion ver_gt "enterprise-server@3.0" %} 1. Under **Jobs** or in the visualization graph, click the **Lint code base** job.  {% else %} 1. In the left sidebar, click the **Lint code base** job.  {% endif %} {% data reusables.repositories.view-failed-job-results-superlinter %} ### More starter workflows 49 content/developers/github-marketplace/about-github-marketplace.md @@ -1,6 +1,6 @@ --- title: About GitHub Marketplace intro: 'Learn the basics to prepare your app for review before joining {% data variables.product.prodname_marketplace %}.' intro: 'Learn about {% data variables.product.prodname_marketplace %} where you can share your apps and actions publicly with all {% data variables.product.product_name %} users.' redirect_from: - /apps/marketplace/getting-started/ - /marketplace/getting-started @@ -14,52 +14,41 @@ versions: {% data reusables.actions.actions-not-verified %} To learn about publishing {% data variables.product.prodname_actions %} in the {% data variables.product.prodname_marketplace %}, see "[Publishing actions in GitHub Marketplace](/actions/creating-actions/publishing-actions-in-github-marketplace)." To learn about publishing {% data variables.product.prodname_actions %} in {% data variables.product.prodname_marketplace %}, see "[Publishing actions in GitHub Marketplace](/actions/creating-actions/publishing-actions-in-github-marketplace)." ### Apps You can list verified and unverified apps in {% data variables.product.prodname_marketplace %}. Unverified apps do not go through the security, testing, and verification cycle {% data variables.product.prodname_dotcom %} requires for verified apps. Anyone can share their apps with other users on {% data variables.product.prodname_marketplace %} but only listings that are verified by {% data variables.product.company_short %} can include paid plans. For more information, see "[About verified creators](/developers/github-marketplace/about-verified-creators)." Verified apps have a green badge in {% data variables.product.prodname_marketplace %}. Unverified apps have a grey badge next to their listing and are only available as free apps. If you're interested in creating an app for {% data variables.product.prodname_marketplace %}, but you're new to {% data variables.product.prodname_github_apps %} or {% data variables.product.prodname_oauth_app %}s, see "[Building {% data variables.product.prodname_github_apps %}](/developers/apps/building-github-apps)" or "[Building {% data variables.product.prodname_oauth_app %}s](/developers/apps/building-oauth-apps)."  If you're interested in creating an app for {% data variables.product.prodname_marketplace %}, but you're new to {% data variables.product.prodname_github_apps %} and {% data variables.product.prodname_oauth_app %}s, see "[Building apps](/apps/)." {% data reusables.marketplace.github_apps_preferred %}, although you can list both OAuth and {% data variables.product.prodname_github_app %}s in {% data variables.product.prodname_marketplace %}. See "[Differences between GitHub and OAuth apps](/apps/differences-between-apps/)" for more details. To learn more about switching from OAuth to {% data variables.product.prodname_github_apps %}, see [Migrating OAuth Apps to {% data variables.product.prodname_github_app %}s](/apps/migrating-oauth-apps-to-github-apps/). {% data reusables.marketplace.github_apps_preferred %}, although you can list both OAuth and {% data variables.product.prodname_github_app %}s in {% data variables.product.prodname_marketplace %}. For more information, see "[Differences between {% data variables.product.prodname_github_apps %} and {% data variables.product.prodname_oauth_app %}s](/apps/differences-between-apps/)" and "[Migrating {% data variables.product.prodname_oauth_app %}s to {% data variables.product.prodname_github_apps %}](/apps/migrating-oauth-apps-to-github-apps/)." If you have questions about {% data variables.product.prodname_marketplace %}, please contact {% data variables.contact.contact_support %} directly. #### Unverified Apps Unverified apps do not need to meet the "[Requirements for listing an app on {% data variables.product.prodname_marketplace %}](/marketplace/getting-started/requirements-for-listing-an-app-on-github-marketplace/)" or go through the "[Security review process](/marketplace/getting-started/security-review-process/)". {% data reusables.marketplace.unverified-apps %} Having a published paid plan will prevent you from being able to submit an unverified app. You must remove paid plans or keep them in draft mode before publishing an unverified app. To list your unverified app in {% data variables.product.prodname_marketplace %}, you only need to create a "[Listing on {% data variables.product.prodname_marketplace %}](/marketplace/listing-on-github-marketplace/)" and submit it as an unverified listing. {% data reusables.marketplace.launch-with-free %} ### Publishing an app to {% data variables.product.prodname_marketplace %} #### Verified Apps When you have finished creating your app, you can share it with other users by publishing it to {% data variables.product.prodname_marketplace %}. In summary, the process is: If you've already built an app and you're interested in submitting a verified listing in {% data variables.product.prodname_marketplace %}, start here: 1. Review your app carefully to ensure that it will behave as expected in other repositories and that it follows best practice guidelines. For more information, see "[Security best practices for apps](/developers/github-marketplace/security-best-practices-for-apps)" and "[Requirements for listing an app](/developers/github-marketplace/requirements-for-listing-an-app#best-practice-for-customer-experience)." 1. [Getting started with {% data variables.product.prodname_marketplace %}](/marketplace/getting-started/)<br/>Learn about requirements, guidelines, and the app submission process. 1. Add webhook events to the app to track user billing requests. For more information about the {% data variables.product.prodname_marketplace %} API, webhook events, and billing requests, see "[Using the {% data variables.product.prodname_marketplace %} API in your app](/developers/github-marketplace/using-the-github-marketplace-api-in-your-app)." 1. [Integrating with the {% data variables.product.prodname_marketplace %} API](/marketplace/integrating-with-the-github-marketplace-api/)<br/>Before you can list your app on {% data variables.product.prodname_marketplace %}, you'll need to integrate billing flows using the {% data variables.product.prodname_marketplace %} API and webhook events. 1. Create a draft {% data variables.product.prodname_marketplace %} listing. For more information, see "[Drafting a listing for your app](/developers/github-marketplace/drafting-a-listing-for-your-app)." 1. [Listing on {% data variables.product.prodname_marketplace %}](/marketplace/listing-on-github-marketplace/) <br/>Create a draft {% data variables.product.prodname_marketplace %} listing, configure webhook settings, and set up pricing plans. 1. Add a pricing plan. For more information, see "[Setting pricing plans for your listing](/developers/github-marketplace/setting-pricing-plans-for-your-listing)." 1. [Selling your app](/marketplace/selling-your-app/)<br/>Learn about pricing plans, billing cycles, and how to receive payment from {% data variables.product.prodname_dotcom %} for your app. 1. Check whether your app meets the requirements for listing on {% data variables.product.prodname_marketplace %} as a free or a paid app. For more information, see "[Requirements for listing an app](/developers/github-marketplace/requirements-for-listing-an-app)." 1. [{% data variables.product.prodname_marketplace %} Insights](/marketplace/github-marketplace-insights/)<br/>See how your app is performing in {% data variables.product.prodname_marketplace %}. You can use metrics collected by {% data variables.product.prodname_dotcom %} to guide your marketing campaign and be successful in {% data variables.product.prodname_marketplace %}. 1. Read and accept the terms of the "[{% data variables.product.prodname_marketplace %} Developer Agreement](/articles/github-marketplace-developer-agreement/)." 1. [{% data variables.product.prodname_marketplace %} transactions](/marketplace/github-marketplace-transactions/)<br/>Download and view transaction data for your {% data variables.product.prodname_marketplace %} listing. 1. Submit your listing for publication in {% data variables.product.prodname_marketplace %}, requesting verification if you want to sell the app. For more information, see "[Submitting your listing for publication](/developers/github-marketplace/submitting-your-listing-for-publication)." ### Reviewing your app An onboarding expert will contact you with any questions or further steps. For example, if you have added a paid plan, you will need to complete the verification process and complete financial onboarding. As soon as your listing is approved the app is published to {% data variables.product.prodname_marketplace %}. We want to make sure that the apps offered on {% data variables.product.prodname_marketplace %} are safe, secure, and well tested. The {% data variables.product.prodname_marketplace %} onboarding specialists will review your app to ensure that it meets all requirements. Follow the guidelines in these articles before submitting your app: ### Seeing how your app is performing You can access metrics and transactions for your listing. For more information, see: * [Requirements for listing an app on {% data variables.product.prodname_marketplace %}](/marketplace/getting-started/requirements-for-listing-an-app-on-github-marketplace/) * [Security review process](/marketplace/getting-started/security-review-process/) - "[Viewing metrics for your listing](/developers/github-marketplace/viewing-metrics-for-your-listing)" - "[Viewing transactions for your listing](/developers/github-marketplace/viewing-transactions-for-your-listing)" 43 content/developers/github-marketplace/about-verified-creators.md @@ -0,0 +1,43 @@ --- title: About verified creators intro: 'Each organization that wants to sell apps on {% data variables.product.prodname_marketplace %} must follow a verification process. Their identity is checked and their billing process reviewed.' versions: free-pro-team: '*' --- ### About verified creators A verified creator is an organization that {% data variables.product.company_short %} has checked. Anyone can share their apps with other users on {% data variables.product.prodname_marketplace %} but only organizations that are verified by {% data variables.product.company_short %} can sell apps. For more information about organizations, see "[About organizations](/github/setting-up-and-managing-organizations-and-teams/about-organizations)." The verification process aims to protect users. For example, it verifies the seller's identity, checks that their {% data variables.product.product_name %} organization is set up securely, and that they can be contacted for support. After passing the verification checks, any apps that the organization lists on {% data variables.product.prodname_marketplace %} are shown with a verified creator badge {% octicon "verified" aria-label="Verified creator badge" %}. The organization can now add paid plans to any of their apps. Each app with a paid plan also goes through a financial onboarding process to check that it's set up to handle billing correctly.  In addition to the verified creator badge, you'll also see badges for unverified and verified apps. These apps were published using the old method for verifying individual apps.  For information on finding apps to use, see "[Searching {% data variables.product.prodname_marketplace %}](/github/searching-for-information-on-github/searching-github-marketplace)." ### About the verification process The first time you request verification for a listing of one of your apps, you will enter the verification process. An onboarding expert will guide you through the process. This includes checking: - Profile information - The basic profile information is populated accurately and appropriately. - Security - The organization has enabled two-factor authentication. - Verified domain - The organization has verified the domain of the site URL. - Purchase webhook event - The event is handled correctly by the app. When your organization is verified, all your apps are shown with a verified creator badge. You are now able to offer paid plans for any of your apps. For more information about the requirements for listing an app on {% data variables.product.prodname_marketplace %}, see "[Requirements for listing an app on {% data variables.product.prodname_marketplace %}](/marketplace/getting-started/requirements-for-listing-an-app-on-github-marketplace/)." {% data reusables.marketplace.app-transfer-to-org-for-verification %} For information on how to do this, see: "[Submitting your listing for publication](/developers/github-marketplace/submitting-your-listing-for-publication#transferring-an-app-to-an-organization-before-you-submit)." {% note %} **Note:** This verification process for apps replaces the previous process where individual apps were verified. The current process is similar to the verification process for actions. If you have apps that were verified under the old process, these will not be affected by the changes. The {% data variables.product.prodname_marketplace %} team will contact you with details of how to migrate to organization-based verification. {% endnote %} 12 content/developers/github-marketplace/billing-customers.md @@ -13,17 +13,17 @@ versions: ### Understanding the billing cycle Customers can choose a monthly or yearly billing cycle when they purchase your app. All changes customers make to the billing cycle and plan selection will trigger a `marketplace_purchase` event. You can refer to the `marketplace_purchase` webhook payload to see which billing cycle a customer selects and when the next billing date begins (`effective_date`). For more information about webhook payloads, see "[{% data variables.product.prodname_marketplace %} webhook events](/marketplace/integrating-with-the-github-marketplace-api/github-marketplace-webhook-events/)." Customers can choose a monthly or yearly billing cycle when they purchase your app. All changes customers make to the billing cycle and plan selection will trigger a `marketplace_purchase` event. You can refer to the `marketplace_purchase` webhook payload to see which billing cycle a customer selects and when the next billing date begins (`effective_date`). For more information about webhook payloads, see "[Webhook events for the {% data variables.product.prodname_marketplace %} API](/developers/github-marketplace/webhook-events-for-the-github-marketplace-api)." ### Providing billing services in your app's UI Customers must be able to perform the following actions from your app's website: - Customers must be able to modify or cancel their {% data variables.product.prodname_marketplace %} plans for personal and organizational accounts separately. Customers should be able to perform the following actions from your app's website: - Customers should be able to modify or cancel their {% data variables.product.prodname_marketplace %} plans for personal and organizational accounts separately. {% data reusables.marketplace.marketplace-billing-ui-requirements %} ### Billing services for upgrades, downgrades, and cancellations Follow these guidelines for upgrades, downgrades, and cancellations to maintain a clear and consistent billing process. For more detailed instructions about the {% data variables.product.prodname_marketplace %} purchase events, see "[Billing flows](/marketplace/integrating-with-the-github-marketplace-api/#billing-flows)." Follow these guidelines for upgrades, downgrades, and cancellations to maintain a clear and consistent billing process. For more detailed instructions about the {% data variables.product.prodname_marketplace %} purchase events, see "[Using the {% data variables.product.prodname_marketplace %} API in your app](/developers/github-marketplace/using-the-github-marketplace-api-in-your-app)." You can use the `marketplace_purchase` webhook's `effective_date` key to determine when a plan change will occur and periodically synchronize the [List accounts for a plan](/rest/reference/apps#list-accounts-for-a-plan). @@ -33,7 +33,7 @@ When a customer upgrades their pricing plan or changes their billing cycle from {% data reusables.marketplace.marketplace-failed-purchase-event %} For information about building upgrade and downgrade workflows into your app, see "[Upgrading and downgrading plans](/marketplace/integrating-with-the-github-marketplace-api/upgrading-and-downgrading-plans/)." For information about building upgrade and downgrade workflows into your app, see "[Handling plan changes](/developers/github-marketplace/handling-plan-changes)." #### Downgrades and cancellations @@ -45,4 +45,4 @@ When a customer cancels a plan, you must: {% data reusables.marketplace.cancellation-clarification %} - Enable them to upgrade the plan through GitHub if they would like to continue the plan at a later time. For information about building cancellation workflows into your app, see "[Cancelling plans](/marketplace/integrating-with-the-github-marketplace-api/cancelling-plans/)." For information about building cancellation workflows into your app, see "[Handling plan cancellations](/developers/github-marketplace/handling-plan-cancellations)." 20 ...nt/developers/github-marketplace/customer-experience-best-practices-for-apps.md @@ -0,0 +1,20 @@ --- title: Customer experience best practices for apps intro: 'Guidelines for creating an app that will be easy to use and understand.' shortTitle: Customer experience best practice versions: free-pro-team: '*' --- If you follow these best practices it will help you to provide a good customer experience. ### Customer communication - Marketing materials for the app should accurately represent the app's behavior. - Apps should include links to user-facing documentation that describe how to set up and use the app. - Customers should be able to see what type of plan they have in the billing, profile, or account settings section of the app. - Customers should be able to install and use your app on both a personal account and an organization account. They should be able to view and manage the app on those accounts separately. ### Plan management {% data reusables.marketplace.marketplace-billing-ui-requirements %} 4 content/developers/github-marketplace/drafting-a-listing-for-your-app.md @@ -59,8 +59,8 @@ Once you've created a {% data variables.product.prodname_marketplace %} draft li ### Submitting your app Once you've completed your {% data variables.product.prodname_marketplace %} listing, you can submit your listing for review from the **Overview** page. You'll need to read and accept the "[{% data variables.product.prodname_marketplace %} Developer Agreement](/articles/github-marketplace-developer-agreement/)," and then you can click **Submit for review**. After you submit your app for review, the {% data variables.product.prodname_marketplace %} onboarding team will contact you with additional information about the onboarding process. You can learn more about the onboarding and security review process in "[Getting started with {% data variables.product.prodname_marketplace %}](/marketplace/getting-started/)." Once you've completed your {% data variables.product.prodname_marketplace %} listing, you can submit your listing for review from the **Overview** page. You'll need to read and accept the "[{% data variables.product.prodname_marketplace %} Developer Agreement](/articles/github-marketplace-developer-agreement/)," and then you can click **Submit for review**. After you submit your app for review, an onboarding expert will contact you with additional information about the onboarding process. You can learn more about the onboarding and security review process in "[Getting started with {% data variables.product.prodname_marketplace %}](/marketplace/getting-started/)." ### Removing a {% data variables.product.prodname_marketplace %} listing If you no longer want to list your app in {% data variables.product.prodname_marketplace %}, contact [marketplace@github.com](mailto:marketplace@github.com) to remove your listing. If you no longer want to list your app in {% data variables.product.prodname_marketplace %}, contact {% data variables.contact.contact_support %} to remove your listing. 2 content/developers/github-marketplace/handling-new-purchases-and-free-trials.md @@ -28,7 +28,7 @@ GitHub then sends the [`marketplace_purchase`](/webhooks/event-payloads/#marketp Read the `effective_date` and `marketplace_purchase` object from the `marketplace_purchase` webhook to determine which plan the customer purchased, when the billing cycle starts, and when the next billing cycle begins. If your app offers a free trial, read the `marketplace_purchase[on_free_trial]` attribute from the webhook. If the value is `true`, your app will need to track the free trial start date (`effective_date`) and the date the free trial ends (`free_trial_ends_on`). Use the `free_trial_ends_on` date to display the remaining days left in a free trial in your app's UI. You can do this in either a banner or in your [billing UI](/marketplace/selling-your-app/billing-customers-in-github-marketplace/#providing-billing-services-in-your-apps-ui). To learn how to handle cancellations before a free trial ends, see "[Cancelling plans](/marketplace/integrating-with-the-github-marketplace-api/cancelling-plans/)." See "[Upgrading and downgrading plans](/marketplace/integrating-with-the-github-marketplace-api/upgrading-and-downgrading-plans/)" to find out how to transition a free trial to a paid plan when a free trial expires. If your app offers a free trial, read the `marketplace_purchase[on_free_trial]` attribute from the webhook. If the value is `true`, your app will need to track the free trial start date (`effective_date`) and the date the free trial ends (`free_trial_ends_on`). Use the `free_trial_ends_on` date to display the remaining days left in a free trial in your app's UI. You can do this in either a banner or in your [billing UI](/marketplace/selling-your-app/billing-customers-in-github-marketplace/#providing-billing-services-in-your-apps-ui). To learn how to handle cancellations before a free trial ends, see "[Handling plan cancellations](/developers/github-marketplace/handling-plan-cancellations)." See "[Handling plan changes](/developers/github-marketplace/handling-plan-changes)" to find out how to transition a free trial to a paid plan when a free trial expires. See "[{% data variables.product.prodname_marketplace %} webhook events](/marketplace/integrating-with-the-github-marketplace-api/github-marketplace-webhook-events/)" for an example of the `marketplace_purchase` event payload. 6 content/developers/github-marketplace/index.md @@ -11,8 +11,10 @@ versions: {% topic_link_in_list /creating-apps-for-github-marketplace %} {% link_in_list /about-github-marketplace %} {% link_in_list /about-verified-creators %} {% link_in_list /requirements-for-listing-an-app %} {% link_in_list /security-review-process-for-submitted-apps %} {% link_in_list /security-best-practices-for-apps %} {% link_in_list /customer-experience-best-practices-for-apps %} {% link_in_list /viewing-metrics-for-your-listing %} {% link_in_list /viewing-transactions-for-your-listing %} {% topic_link_in_list /using-the-github-marketplace-api-in-your-app %} @@ -27,7 +29,7 @@ versions: {% link_in_list /writing-a-listing-description-for-your-app %} {% link_in_list /setting-pricing-plans-for-your-listing %} {% link_in_list /configuring-a-webhook-to-notify-you-of-plan-changes %} {% link_in_list /submitting-your-listing-for-review %} {% link_in_list /submitting-your-listing-for-publication %} {% topic_link_in_list /selling-your-app-on-github-marketplace %} {% link_in_list /pricing-plans-for-github-marketplace-apps %} {% link_in_list /billing-customers %} 32 content/developers/github-marketplace/pricing-plans-for-github-marketplace-apps.md @@ -10,35 +10,45 @@ versions: {% data variables.product.prodname_marketplace %} pricing plans can be free, flat rate, or per-unit, and GitHub lists the price in US dollars. Customers purchase your app using a payment method attached to their {% data variables.product.product_name %} account, without having to leave GitHub.com. You don't have to write code to perform billing transactions, but you will have to handle [billing flows](/marketplace/integrating-with-the-github-marketplace-api/#billing-flows) for purchase events. {% data variables.product.prodname_marketplace %} pricing plans can be free, flat rate, or per-unit. Prices are set, displayed, and processed in US dollars. Paid plans are restricted to verified listings. Customers purchase your app using a payment method attached to their {% data variables.product.product_name %} account, without having to leave {% data variables.product.prodname_dotcom_the_website %}. You don't have to write code to perform billing transactions, but you will have to handle events from the {% data variables.product.prodname_marketplace %} API. For more information, see "[Using the {% data variables.product.prodname_marketplace %} API in your app](/developers/github-marketplace/using-the-github-marketplace-api-in-your-app)." If the app you're listing on {% data variables.product.prodname_marketplace %} has multiple plan options, you can set up corresponding pricing plans. For example, if your app has two plan options, an open source plan and a pro plan, you can set up a free pricing plan for your open source plan and a flat pricing plan for your pro plan. Each {% data variables.product.prodname_marketplace %} listing must have an annual and a monthly price for every plan that's listed. For more information on how to create a pricing plan, see "[Setting a {% data variables.product.prodname_marketplace %} listing's pricing plan](/marketplace/listing-on-github-marketplace/setting-a-github-marketplace-listing-s-pricing-plan/)." {% note %} {% data reusables.marketplace.free-plan-note %} **Note:** If you're listing an app on {% data variables.product.prodname_marketplace %}, you can't list your app with a free pricing plan if you offer a paid service outside of {% data variables.product.prodname_marketplace %}. ### Types of pricing plans {% endnote %} #### Free pricing plans ### Types of pricing plans {% data reusables.marketplace.free-apps-encouraged %} Free plans are completely free for users. If you set up a free pricing plan, you cannot charge users that choose the free pricing plan for the use of your app. You can create both free and paid plans for your listing. All apps need to handle events for new purchases and cancellations. Apps that only have free plans do not need to handle events for free trials, upgrades, and downgrades. For more information, see: "[Using the {% data variables.product.prodname_marketplace %} API in your app](/developers/github-marketplace/using-the-github-marketplace-api-in-your-app)." If you add a paid plan to an app that you've already listed in {% data variables.product.prodname_marketplace %} as a free service, you'll need to request verification for the app and go through financial onboarding. #### Paid pricing plans **Free pricing plans** are completely free for users. If you set up a free pricing plan, you cannot charge users that choose the free pricing plan for the use of your app. You can create both free and paid plans for your listing. Unverified free apps do not need to implement any billing flows. Free apps that are verified by Github need to implement billing flows for new purchases and cancellations, but do not need to implement billing flows for free trials, upgrades, and downgrades. If you add a paid plan to an app that you've already listed in {% data variables.product.prodname_marketplace %} as a free service, you'll need to resubmit the app for review. There are two types of paid pricing plan: **Flat rate pricing plans** charge a set fee on a monthly and yearly basis. - Flat rate pricing plans charge a set fee on a monthly and yearly basis. **Per-unit pricing plans** charge a set fee on either a monthly or yearly basis for a unit that you specify. A "unit" can be anything you'd like (for example, a user, seat, or person). - Per-unit pricing plans charge a set fee on either a monthly or yearly basis for a unit that you specify. A "unit" can be anything you'd like (for example, a user, seat, or person). **Marketplace free trials** provide 14-day free trials of OAuth or GitHub Apps to customers. When you [set up a Marketplace pricing plan](/marketplace/listing-on-github-marketplace/setting-a-github-marketplace-listing-s-pricing-plan/), you can select the option to provide a free trial for flat-rate or per-unit pricing plans. You may also want to offer free trials. These provide free, 14-day trials of OAuth or GitHub Apps to customers. When you set up a Marketplace pricing plan, you can select the option to provide a free trial for flat-rate or per-unit pricing plans. ### Free trials Customers can start a free trial for any available paid plan on a Marketplace listing, but will not be able to create more than one free trial for a Marketplace product. Customers can start a free trial for any paid plan on a Marketplace listing that includes free trials. However, customers cannot create more than one free trial per marketplace product. Free trials have a fixed length of 14 days. Customers are notified 4 days before the end of their trial period (on day 11 of the free trial) that their plan will be upgraded. At the end of a free trial, customers will be auto-enrolled into the plan they are trialing if they do not cancel. See "[New purchases and free trials](/marketplace/integrating-with-the-github-marketplace-api/handling-new-purchases-and-free-trials/)" for details on how to handle free trials in your app. For more information, see: "[Handling new purchases and free trials](/developers/github-marketplace/integrating-with-the-github-marketplace-api/handling-new-purchases-and-free-trials/)." {% note %} 61 content/developers/github-marketplace/requirements-for-listing-an-app.md @@ -1,6 +1,6 @@ --- title: Requirements for listing an app intro: 'Apps on {% data variables.product.prodname_marketplace %} must meet the requirements outlined on this page before our {% data variables.product.prodname_marketplace %} onboarding specialists will approve the listing.' intro: 'Apps on {% data variables.product.prodname_marketplace %} must meet the requirements outlined on this page before the listing can be published.' redirect_from: - /apps/adding-integrations/listing-apps-on-github-marketplace/requirements-for-listing-an-app-on-github-marketplace/ - /apps/marketplace/listing-apps-on-github-marketplace/requirements-for-listing-an-app-on-github-marketplace/ @@ -12,49 +12,62 @@ versions: free-pro-team: '*' --- <!--UI-LINK: Displayed as a link on the https://github.com/marketplace/new page.--> The requirements for listing an app on {% data variables.product.prodname_marketplace %} vary according to whether you want to offer a free or a paid app. Before you submit your app for review, you must read and accept the terms of the "[{% data variables.product.prodname_marketplace %} Developer Agreement](/articles/github-marketplace-developer-agreement/)." You'll accept the terms within your [draft listing](/marketplace/listing-on-github-marketplace/creating-a-draft-github-marketplace-listing/) on {% data variables.product.product_name %}. Once you've submitted your app, one of the {% data variables.product.prodname_marketplace %} onboarding specialists will reach out to you with more information about the onboarding process, and review your app to ensure it meets these requirements: ### Requirements for all {% data variables.product.prodname_marketplace %} listings ### User experience All listings on {% data variables.product.prodname_marketplace %} should be for tools that provide value to the {% data variables.product.product_name %} community. When you submit your listing for publication, you must read and accept the terms of the "[{% data variables.product.prodname_marketplace %} Developer Agreement](/articles/github-marketplace-developer-agreement/)." - {% data variables.product.prodname_github_app %}s should have a minimum of 100 installations. - {% data variables.product.prodname_oauth_app %}s should have a minimum of 200 users. #### User experience requirements for all apps All listings should meet the following requirements, regardless of whether they are for a free or paid app. - Listings must not actively persuade users away from {% data variables.product.product_name %}. - Listings must include valid contact information for the publisher. - Listings must have a relevant description of the application. - Listings must specify a pricing plan. - Apps must provide value to customers and integrate with the platform in some way beyond authentication. - Apps must be publicly available in {% data variables.product.prodname_marketplace %} and cannot be in beta or available by invite only. - Apps cannot actively persuade users away from {% data variables.product.product_name %}. - Marketing materials for the app must accurately represent the app's behavior. - Apps must include links to user-facing documentation that describe how to set up and use the app. - When a customer purchases an app and GitHub redirects them to the app's installation URL, the app must begin the OAuth flow immediately. For details, see "[Handling new purchases and free trials](/marketplace/integrating-with-the-github-marketplace-api/handling-new-purchases-and-free-trials/#step-3-authorization)." - Apps must have webhook events set up to notify the publisher of any plan changes or cancellations using the {% data variables.product.prodname_marketplace %} API. For more information, see "[Using the {% data variables.product.prodname_marketplace %} API in your app](/developers/github-marketplace/using-the-github-marketplace-api-in-your-app)." - Customers must be able to install your app and select repositories on both a personal and organization account. They should be able to view and manage those accounts separately. For more information on providing a good customer experience, see "[Customer experience best practices for apps](/developers/github-marketplace/customer-experience-best-practices-for-apps)." ### Brand and listing #### Brand and listing requirements for all apps - Apps that use GitHub logos must follow the "[{% data variables.product.product_name %} Logos and Usage](https://github.com/logos)" guidelines. - Apps that use GitHub logos must follow the {% data variables.product.company_short %} guidelines. For more information, see "[{% data variables.product.company_short %} Logos and Usage](https://github.com/logos)." - Apps must have a logo, feature card, and screenshots images that meet the recommendations provided in "[Writing {% data variables.product.prodname_marketplace %} listing descriptions](/marketplace/listing-on-github-marketplace/writing-github-marketplace-listing-descriptions/)." - Listings must include descriptions that are well written and free of grammatical errors. For guidance in writing your listing, see "[Writing {% data variables.product.prodname_marketplace %} listing descriptions](/marketplace/listing-on-github-marketplace/writing-github-marketplace-listing-descriptions/)." ### Security To protect your customers, we recommend that you also follow security best practices. For more information, see "[Security best practices for apps](/developers/github-marketplace/security-best-practices-for-apps)." ### Considerations for free apps Apps will go through a security review before being listed on {% data variables.product.prodname_marketplace %}. A successful review will meet the requirements and follow the security best practices listed in "[Security review process](/marketplace/getting-started/security-review-process/)." For information on the review process, contact [marketplace@github.com](mailto:marketplace@github.com). {% data reusables.marketplace.free-apps-encouraged %} ### Requirements for paid apps In addition to the requirements for all apps above, each app that you offer as a paid service on {% data variables.product.prodname_marketplace %} must also meet the following requirements: - {% data variables.product.prodname_github_app %}s should have a minimum of 100 installations. - {% data variables.product.prodname_oauth_app %}s should have a minimum of 200 users. - All paid apps must handle {% data variables.product.prodname_marketplace %} purchase events for new purchases, upgrades, downgrades, cancellations, and free trials. For more information, see "[Billing requirements for paid apps](#billing-requirements-for-paid-apps)" below. - Publishing organizations must have a verified domain and must enable two-factor authentication. For more information, see "[Requiring two-factor authentication in your organization](/github/setting-up-and-managing-organizations-and-teams/requiring-two-factor-authentication-in-your-organization.") ### Billing flows When you are ready to publish the app on {% data variables.product.prodname_marketplace %} you must request verification for the listing. Your app must integrate [billing flows](/marketplace/integrating-with-the-github-marketplace-api/#billing-flows) using the [{% data variables.product.prodname_marketplace %} webhook event](/marketplace/integrating-with-the-github-marketplace-api/github-marketplace-webhook-events/). {% note %} #### Free apps The verification process is open to organizations. {% data reusables.marketplace.app-transfer-to-org-for-verification %} For information on how to do this, see: "[Submitting your listing for publication](/developers/github-marketplace/submitting-your-listing-for-publication#transferring-an-app-to-an-organization-before-you-submit)." {% data reusables.marketplace.free-apps-encouraged %} If you are listing a free app, you'll need to meet these requirements: {% endnote %} - Customers must be able to see that they have a free plan in the billing, profile, or account settings section of the app. - When a customer cancels your app, you must follow the flow for [cancelling plans](/marketplace/integrating-with-the-github-marketplace-api/cancelling-plans/). ### Billing requirements for paid apps #### Paid apps Your app does not need to handle payments but does need to use {% data variables.product.prodname_marketplace %} purchase events to manage new purchases, upgrades, downgrades, cancellations, and free trials. For information about how integrate these events into your app, see "[Using the {% data variables.product.prodname_marketplace %} API in your app](/developers/github-marketplace/using-the-github-marketplace-api-in-your-app)." To offer your app as a paid service, you'll need to meet these requirements to list your app on {% data variables.product.prodname_marketplace %}: Using GitHub's billing API allows customers to purchase an app without leaving GitHub and to pay for the service with the payment method already attached to their {% data variables.product.product_name %} account. - To sell your app in {% data variables.product.prodname_marketplace %}, it must use GitHub's billing system. Your app does not need to handle payments but does need to use "[{% data variables.product.prodname_marketplace %} purchase events](/marketplace/integrating-with-the-github-marketplace-api/github-marketplace-webhook-events/)" to manage new purchases, upgrades, downgrades, cancellations, and free trials. See "[Billing flows](/marketplace/integrating-with-the-github-marketplace-api/#billing-flows)" to learn about how to integrate these events into your app. Using GitHub's billing system allows customers to purchase an app without leaving GitHub and pay for the service with the payment method already attached to their {% data variables.product.product_name %} account. - Apps must support both monthly and annual billing for paid subscriptions purchases. - Listings may offer any combination of free and paid plans. Free plans are optional but encouraged. For more information, see "[Setting a {% data variables.product.prodname_marketplace %} listing's pricing plan](/marketplace/listing-on-github-marketplace/setting-a-github-marketplace-listing-s-pricing-plan/)." {% data reusables.marketplace.marketplace-billing-ui-requirements %} 60 content/developers/github-marketplace/security-best-practices-for-apps.md @@ -0,0 +1,60 @@ --- title: Security best practices for apps intro: 'Guidelines for preparing a secure app to share on {% data variables.product.prodname_marketplace %}.' redirect_from: - /apps/marketplace/getting-started/security-review-process/ - /marketplace/getting-started/security-review-process - /developers/github-marketplace/security-review-process-for-submitted-apps shortTitle: Security best practice versions: free-pro-team: '*' --- If you follow these best practices it will help you to provide a secure user experience. ### Authorization, authentication, and access control We recommend creating a GitHub App rather than an OAuth App. {% data reusables.marketplace.github_apps_preferred %}. See "[Differences between GitHub Apps and OAuth Apps](/apps/differences-between-apps/)" for more details. - Apps should use the principle of least privilege and should only request the OAuth scopes and GitHub App permissions that the app needs to perform its intended functionality. For more information, see [Principle of least privilege](https://en.wikipedia.org/wiki/Principle_of_least_privilege) in Wikipedia. - Apps should provide customers with a way to delete their account, without having to email or call a support person. - Apps should not share tokens between different implementations of the app. For example, a desktop app should have a separate token from a web-based app. Individual tokens allow each app to request the access needed for GitHub resources separately. - Design your app with different user roles, depending on the functionality needed by each type of user. For example, a standard user should not have access to admin functionality, and billing managers might not need push access to repository code. - Apps should not share service accounts such as email or database services to manage your SaaS service. - All services used in your app should have unique login and password credentials. - Admin privilege access to the production hosting infrastructure should only be given to engineers and employees with administrative duties. - Apps should not use personal access tokens to authenticate and should authenticate as an [OAuth App](/apps/about-apps/#about-oauth-apps) or a [GitHub App](/apps/about-apps/#about-github-apps): - OAuth Apps should authenticate using an [OAuth token](/apps/building-oauth-apps/authorizing-oauth-apps/). - GitHub Apps should authenticate using either a [JSON Web Token (JWT)](/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app), [OAuth token](/apps/building-github-apps/identifying-and-authorizing-users-for-github-apps/), or [installation access token](/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-an-installation). ### Data protection - Apps should encrypt data transferred over the public internet using HTTPS, with a valid TLS certificate, or SSH for Git. - Apps should store client ID and client secret keys securely. We recommend storing them as [environmental variables](http://en.wikipedia.org/wiki/Environment_variable#Getting_and_setting_environment_variables). - Apps should delete all GitHub user data within 30 days of receiving a request from the user, or within 30 days of the end of the user's legal relationship with GitHub. - Apps should not require the user to provide their GitHub password. - Apps should encrypt tokens, client IDs, and client secrets. ### Logging and monitoring Apps should have logging and monitoring capabilities. App logs should be retained for at least 30 days and archived for at least one year. A security log should include: - Authentication and authorization events - Service configuration changes - Object reads and writes - All user and group permission changes - Elevation of role to admin - Consistent timestamping for each event - Source users, IP addresses, and/or hostnames for all logged actions ### Incident response workflow To provide a secure experience for users, you should have a clear incident response plan in place before listing your app. We recommend having a security and operations incident response team in your company rather than using a third-party vendor. You should have the capability to notify {% data variables.product.product_name %} within 24 hours of a confirmed incident. For an example of an incident response workflow, see the "Data Breach Response Policy" on the [SANS Institute website](https://www.sans.org/information-security-policy/). A short document with clear steps to take in the event of an incident is more valuable than a lengthy policy template. ### Vulnerability management and patching workflow You should conduct regular vulnerability scans of production infrastructure. You should triage the results of vulnerability scans and define a period of time in which you agree to remediate the vulnerability. If you are not ready to set up a full vulnerability management program, it's useful to start by creating a patching process. For guidance in creating a patch management policy, see this TechRepublic article "[Establish a patch management policy](https://www.techrepublic.com/blog/it-security/establish-a-patch-management-policy-87756/)." 94 ...ent/developers/github-marketplace/security-review-process-for-submitted-apps.md This file was deleted. 53 content/developers/github-marketplace/setting-pricing-plans-for-your-listing.md @@ -1,6 +1,6 @@ --- title: Setting pricing plans for your listing intro: 'When [listing your app on {% data variables.product.prodname_marketplace %}](/marketplace/listing-on-github-marketplace/), you can choose to provide your app as a free service or sell your app. If you plan to sell your app, you can create different pricing plans for different feature tiers.' intro: 'When you list your app on {% data variables.product.prodname_marketplace %}, you can choose to provide your app as a free service or sell your app. If you plan to sell your app, you can create different pricing plans for different feature tiers.' redirect_from: - /apps/adding-integrations/managing-pricing-and-payments-for-a-github-marketplace-listing/setting-a-github-marketplace-listing-s-pricing-plan/ - /apps/marketplace/managing-pricing-and-payments-for-a-github-marketplace-listing/setting-a-github-marketplace-listing-s-pricing-plan/ @@ -17,57 +17,52 @@ versions: free-pro-team: '*' --- ### About setting pricing plans If you want to sell an app on {% data variables.product.prodname_marketplace %}, you need to request verification when you publish the listing for your app. During the verification process, an onboarding expert checks the organization's identity and security settings. The onboarding expert will also take the organization through financial onboarding. For more information, see: "[Requirements for listing an app on {% data variables.product.prodname_marketplace %}](/marketplace/getting-started/requirements-for-listing-an-app-on-github-marketplace/)." ### Creating pricing plans To learn about the types of pricing plans that {% data variables.product.prodname_marketplace %} offers, see "[{% data variables.product.prodname_marketplace %} Pricing Plans](/marketplace/selling-your-app/github-marketplace-pricing-plans/)." You'll also find helpful billing guidelines in "[Selling your app](/marketplace/selling-your-app/)." Pricing plans can be in the draft or published state. If you haven't submitted your {% data variables.product.prodname_marketplace %} listing for approval, a published listing will function the same way as draft listings until your app is approved and listed on {% data variables.product.prodname_marketplace %}. Draft listings allow you to create and save new pricing plans without making them available on your {% data variables.product.prodname_marketplace %} listing page. Once you publish the pricing plan, it's available for customers to purchase immediately. You can publish up to 10 pricing plans. {% data reusables.marketplace.app-transfer-to-org-for-verification %} For information on how to do this, see: "[Submitting your listing for publication](/developers/github-marketplace/submitting-your-listing-for-publication#transferring-an-app-to-an-organization-before-you-submit)." To create a pricing plan for your {% data variables.product.prodname_marketplace %} listing, click **Plans and pricing** in the left sidebar of your [{% data variables.product.prodname_marketplace %} listing page](https://github.com/marketplace/manage). If you haven't created a {% data variables.product.prodname_marketplace %} listing yet, read "[Creating a draft {% data variables.product.prodname_marketplace %} listing](/marketplace/listing-on-github-marketplace/creating-a-draft-github-marketplace-listing/)" to learn how. When you click **New draft plan**, you'll see a form that allows you to customize your pricing plan. You'll need to configure the following fields to create a pricing plan: {% data variables.product.prodname_marketplace %} offers several different types of pricing plan. For detailed information, see "[Pricing plans for {% data variables.product.prodname_marketplace %}](/developers/github-marketplace/pricing-plans-for-github-marketplace-apps)." #### Plan name ### About saving pricing plans Your pricing plan's name will appear on your {% data variables.product.prodname_marketplace %} app's landing page. You can customize the name of your pricing plan to align to the plan's resources, the size of the company that will use the plan, or anything you'd like. You can save pricing plans in a draft or published state. If you haven't submitted your {% data variables.product.prodname_marketplace %} listing for approval, a published plan will function in the same way as a draft plan until your listing is approved and shown on {% data variables.product.prodname_marketplace %}. Draft plans allow you to create and save new pricing plans without making them available on your {% data variables.product.prodname_marketplace %} listing page. Once you publish a pricing plan on a published listing, it's available for customers to purchase immediately. You can publish up to 10 pricing plans. #### Pricing models For guidelines on billing customers, see "[Billing customers](/developers/github-marketplace/billing-customers)." ##### Free plans {% data reusables.marketplace.free-apps-encouraged %} A free plan still requires you to handle [new purchase](/marketplace/integrating-with-the-github-marketplace-api/handling-new-purchases-and-free-trials/) and [cancellation](/marketplace/integrating-with-the-github-marketplace-api/cancelling-plans/) billing flows. See "[Billing flows](/marketplace/integrating-with-the-github-marketplace-api/#billing-flows)" for more details. ##### Flat-rate plans ### Creating pricing plans Flat-rate pricing plans allow you to offer your service to customers for a flat-rate fee. {% data reusables.marketplace.marketplace-pricing-free-trials %} To create a pricing plan for your {% data variables.product.prodname_marketplace %} listing, click **Plans and pricing** in the left sidebar of your [{% data variables.product.prodname_marketplace %} listing page](https://github.com/marketplace/manage). For more information, see "[Creating a draft {% data variables.product.prodname_marketplace %} listing](/marketplace/listing-on-github-marketplace/creating-a-draft-github-marketplace-listing/)." You must set a price for both monthly and yearly subscriptions in U.S. Dollars for flat-rate plans. When you click **New draft plan**, you'll see a form that allows you to customize your pricing plan. You'll need to configure the following fields to create a pricing plan: ##### Per-unit plans - **Plan name** - Your pricing plan's name will appear on your {% data variables.product.prodname_marketplace %} app's landing page. You can customize the name of your pricing plan to align with the plan's resources, the size of the company that will use the plan, or anything you'd like. Per-unit pricing allows you to offer your app in units. For example, a unit can be a person, seat, or user. You'll need to provide a name for the unit and set a price for both monthly and yearly subscriptions, in U.S. Dollars. - **Pricing models** - There are three types of pricing plan: free, flat-rate, and per-unit. All plans require you to process new purchase and cancellation events from the marketplace API. In addition, for paid plans: #### Available for - You must set a price for both monthly and yearly subscriptions in US dollars. - Your app must process plan change events. - You must request verification to publish a listing with a paid plan. - {% data reusables.marketplace.marketplace-pricing-free-trials %} {% data variables.product.prodname_marketplace %} pricing plans can apply to **Personal and organization accounts**, **Personal accounts only**, or **Organization accounts only**. For example, if your pricing plan is per-unit and provides multiple seats, you would select **Organization accounts only** because there is no way to assign seats to people in an organization from a personal account. For detailed information, see "[Pricing plans for {% data variables.product.prodname_marketplace %} apps](/developers/github-marketplace/pricing-plans-for-github-marketplace-apps)" and "[Using the {% data variables.product.prodname_marketplace %} API in your app](/developers/github-marketplace/using-the-github-marketplace-api-in-your-app)." #### Short description - **Available for** - {% data variables.product.prodname_marketplace %} pricing plans can apply to **Personal and organization accounts**, **Personal accounts only**, or **Organization accounts only**. For example, if your pricing plan is per-unit and provides multiple seats, you would select **Organization accounts only** because there is no way to assign seats to people in an organization from a personal account. Write a brief summary of the details of the pricing plan. The description might include the type of customer the plan is intended for or the resources the plan includes. - **Short description** - Write a brief summary of the details of the pricing plan. The description might include the type of customer the plan is intended for or the resources the plan includes. #### Bullets - **Bullets** - You can write up to four bullets that include more details about your pricing plan. The bullets might include the use cases of your app or list more detailed information about the resources or features included in the plan. You can write up to four bullets that include more details about your pricing plan. The bullets might include the use cases of your app or list more detailed information about the resources or features included in the plan. {% data reusables.marketplace.free-plan-note %} ### Changing a {% data variables.product.prodname_marketplace %} listing's pricing plan If a pricing plan for your {% data variables.product.prodname_marketplace %} plan is no longer needed or if you need to adjust pricing details, you can remove it. If a pricing plan for your {% data variables.product.prodname_marketplace %} listing is no longer needed, or if you need to adjust pricing details, you can remove it.  Once you publish a pricing plan for an app already listed in the {% data variables.product.prodname_marketplace %}, you can't make changes to the plan. Instead, you'll need to remove the pricing plan. Customers who already purchased the removed pricing plan will continue to use it until they opt out and move onto a new pricing plan. For more on pricing plans, see "[{% data variables.product.prodname_marketplace %} pricing plans](/marketplace/selling-your-app/github-marketplace-pricing-plans/)." Once you publish a pricing plan for an app that is already listed in {% data variables.product.prodname_marketplace %}, you can't make changes to the plan. Instead, you'll need to remove the pricing plan and create a new plan. Customers who already purchased the removed pricing plan will continue to use it until they opt out and move onto a new pricing plan. For more on pricing plans, see "[{% data variables.product.prodname_marketplace %} pricing plans](/marketplace/selling-your-app/github-marketplace-pricing-plans/)." Once you remove a pricing plan, users won't be able to purchase your app using that plan. Existing users on the removed pricing plan will continue to stay on the plan until they cancel their plan subscription. 37 content/developers/github-marketplace/submitting-your-listing-for-publication.md @@ -0,0 +1,37 @@ --- title: Submitting your listing for publication intro: 'You can submit your listing for the {% data variables.product.prodname_dotcom %} community to use.' redirect_from: - /marketplace/listing-on-github-marketplace/submitting-your-listing-for-review - /developers/github-marketplace/submitting-your-listing-for-review versions: free-pro-team: '*' --- Once you've completed the listing for your app, you'll see two buttons that allow you to request publication of the listing with or without verification. The **Request** button for "Publish without verification" is disabled if you have published any paid pricing plans in the listing.  {% data reusables.marketplace.launch-with-free %} After you submit your listing for review, an onboarding expert will reach out to you with additional information. For an overview of the process for creating and submitting a listing, see "[About {% data variables.product.prodname_marketplace %}](/developers/github-marketplace/about-github-marketplace#publishing-an-app-to-github-marketplace)." ### Prerequisites for publishing with verification Before you request verification of your listing, you'll need to integrate the {% data variables.product.prodname_marketplace %} billing flows and webhook into your app. For more information, see "[Using the {% data variables.product.prodname_marketplace %} API in your app](/developers/github-marketplace/using-the-github-marketplace-api-in-your-app)." If you've met the requirements for listing and you've integrated with the {% data variables.product.prodname_marketplace %} API, go ahead and submit your listing. For more information, see "[Requirements for listing an app](/developers/github-marketplace/requirements-for-listing-an-app)." {% data reusables.marketplace.app-transfer-to-org-for-verification %} For information on how to do this, see: "[Transferring an app to an organization before you submit](#transferring-an-app-to-an-organization-before-you-submit)" below. ### Transferring an app to an organization before you submit You cannot sell an app that's owned by a user account. You need to transfer the app to an organization that is already a verified creator, or that can request verification for a listing for the app. For details, see: 1. "[Creating an organization from scratch](/github/setting-up-and-managing-organizations-and-teams/creating-a-new-organization-from-scratch)" 1. "[Transferring ownership of a GitHub App](/developers/apps/transferring-ownership-of-a-github-app)" or "[Transferring ownership of an OAuth App](/developers/apps/transferring-ownership-of-an-oauth-app)" 22 content/developers/github-marketplace/submitting-your-listing-for-review.md This file was deleted. 4 content/developers/github-marketplace/testing-your-app.md @@ -1,6 +1,6 @@ --- title: Testing your app intro: 'GitHub recommends testing your app with APIs and webhooks before submitting your listing to {% data variables.product.prodname_marketplace %} so you can provide an ideal experience for customers. Before the {% data variables.product.prodname_marketplace %} onboarding team approves your app, it must adequately handle the [billing flows](/marketplace/integrating-with-the-github-marketplace-api/#billing-flows).' intro: 'GitHub recommends testing your app with APIs and webhooks before submitting your listing to {% data variables.product.prodname_marketplace %} so you can provide an ideal experience for customers. Before an onboarding expert approves your app, it must adequately handle the billing flows.' redirect_from: - /apps/marketplace/testing-apps-apis-and-webhooks/ - /apps/marketplace/integrating-with-the-github-marketplace-api/testing-github-marketplace-apps/ @@ -13,7 +13,7 @@ versions: ### Testing apps You can use a [draft {% data variables.product.prodname_marketplace %} listing](/marketplace/listing-on-github-marketplace/creating-a-draft-github-marketplace-listing/) to simulate each of the [billing flows](/marketplace/integrating-with-the-github-marketplace-api/#billing-flows). A listing in the draft state means that it has not been submitted for approval. Any purchases you make using a draft {% data variables.product.prodname_marketplace %} listing will _not_ create real transactions, and GitHub will not charge your credit card. You can use a draft {% data variables.product.prodname_marketplace %} listing to simulate each of the billing flows. A listing in the draft state means that it has not been submitted for approval. Any purchases you make using a draft {% data variables.product.prodname_marketplace %} listing will _not_ create real transactions, and GitHub will not charge your credit card. For more information, see "[Drafting a listing for your app](/developers/github-marketplace/drafting-a-listing-for-your-app)" and "[Using the {% data variables.product.prodname_marketplace %} API in your app](/developers/github-marketplace/using-the-github-marketplace-api-in-your-app)." #### Using a development app with a draft listing to test changes 2 .../developers/github-marketplace/webhook-events-for-the-github-marketplace-api.md @@ -1,6 +1,6 @@ --- title: Webhook events for the GitHub Marketplace API intro: 'A {% data variables.product.prodname_marketplace %} app receives information about changes to a user''s plan from the Marketplace purchase event webhook. A Marketplace purchase event is triggered when a user purchases, cancels, or changes their payment plan. For details on how to respond to each of these types of events, see "[Billing flows](/marketplace/integrating-with-the-github-marketplace-api/#billing-flows)."' intro: 'A {% data variables.product.prodname_marketplace %} app receives information about changes to a user''s plan from the Marketplace purchase event webhook. A Marketplace purchase event is triggered when a user purchases, cancels, or changes their payment plan.' redirect_from: - /apps/marketplace/setting-up-github-marketplace-webhooks/about-webhook-payloads-for-a-github-marketplace-listing/ - /apps/marketplace/integrating-with-the-github-marketplace-api/github-marketplace-webhook-events/ 4 content/developers/webhooks-and-events/webhook-events-and-payloads.md @@ -445,7 +445,7 @@ Key | Type | Description #### Webhook payload object {% data reusables.webhooks.installation_properties %} {% data reusables.webhooks.app_desc %} {% data reusables.webhooks.app_always_desc %} {% data reusables.webhooks.sender_desc %} #### Webhook payload example @@ -469,7 +469,7 @@ Key | Type | Description #### Webhook payload object {% data reusables.webhooks.installation_repositories_properties %} {% data reusables.webhooks.app_desc %} {% data reusables.webhooks.app_always_desc %} {% data reusables.webhooks.sender_desc %} #### Webhook payload example 54 ...ssions/collaborating-with-your-community-using-discussions/about-discussions.md @@ -0,0 +1,54 @@ --- title: About discussions intro: Use discussions to ask and answer questions, share information, make announcements, and conduct or participate in a conversation about a project on {% data variables.product.product_name %}. versions: free-pro-team: '*' --- {% data reusables.discussions.beta %} ### About discussions With {% data variables.product.prodname_discussions %}, the community for your project can create and participate in conversations within the project's repository. Discussions empower a project's maintainers, contributors, and visitors to gather and accomplish the following goals in a central location, without third-party tools. - Share announcements and information, gather feedback, plan, and make decisions - Ask questions, discuss and answer the questions, and mark the discussions as answered - Foster an inviting atmosphere for visitors and contributors to discuss goals, development, administration, and workflows  You don't need to close a discussion like you close an issue or a pull request. If a repository administrator or project maintainer enables discussions for a repository, anyone who visits the repository can create and participate in discussions for the repository. Repository administrators and project maintainers can manage discussions and discussion categories in a repository, and pin discussions to increase the visibility of the discussion. Moderators and collaborators can mark comments as answers, lock discussions, and convert issues to discussions. For more information, see "[Repository permission levels for an organization](/github/setting-up-and-managing-organizations-and-teams/repository-permission-levels-for-an-organization)." For more information about management of discussions for your repository, see "[Managing discussions in your repository](/discussions/managing-discussions-for-your-community/managing-discussions-in-your-repository)." ### About categories and formats for discussions {% data reusables.discussions.you-can-categorize-discussions %} {% data reusables.discussions.about-categories-and-formats %} {% data reusables.discussions.repository-category-limit %} For discussions with a question/answer format, an individual comment within the discussion can be marked as the discussion's answer. {% data reusables.discussions.github-recognizes-members %} For more information, see "[Managing categories for discussions in your repository](/discussions/managing-discussions-for-your-community/managing-categories-for-discussions-in-your-repository)." ### Best practices for discussions As a community member or maintainer, start a discussion to ask a question or discuss information that affects the community. For more information, see "[Collaborating with maintainers using discussions](/discussions/collaborating-with-your-community-using-discussions/collaborating-with-maintainers-using-discussions)." Participate in a discussion to ask and answer questions, provide feedback, and engage with the project's community. For more information, see "[Participating in a discussion](/discussions/collaborating-with-your-community-using-discussions/participating-in-a-discussion)." You can spotlight discussions that contain important, useful, or exemplary conversations among members in the community. For more information, see "[Managing discussions in your repository](/discussions/managing-discussions-for-your-community/managing-discussions-in-your-repository#pinning-a-discussion)." {% data reusables.discussions.you-can-convert-an-issue %} For more information, see "[Moderating discussions in your repository](/discussions/managing-discussions-for-your-community/moderating-discussions#converting-an-issue-to-a-discussion)." ### Sharing feedback You can share your feedback about {% data variables.product.prodname_discussions %} with {% data variables.product.company_short %}. To join the conversation, see [`github/feedback`](https://github.com/github/feedback/discussions?discussions_q=category%3A%22Discussions+Feedback%22). ### Further reading - "[About writing and formatting on {% data variables.product.prodname_dotcom %}](/github/writing-on-github/about-writing-and-formatting-on-github)" - "[Searching discussions](/github/searching-for-information-on-github/searching-discussions)" - "[About notifications](/github/managing-subscriptions-and-notifications-on-github/about-notifications)" - "[Moderating comments and conversations](/github/building-a-strong-community/moderating-comments-and-conversations)" - "[Maintaining your safety on {% data variables.product.prodname_dotcom %}](/github/building-a-strong-community/maintaining-your-safety-on-github)" 50 ...community-using-discussions/collaborating-with-maintainers-using-discussions.md @@ -0,0 +1,50 @@ --- title: Collaborating with maintainers using discussions shortTitle: Collaborating with maintainers intro: You can contribute to the goals, plans, health, and community for a project on {% data variables.product.product_name %} by communicating with the maintainers of the project in a discussion. permissions: People with read permissions to a repository can start and participate in discussions in the repository. versions: free-pro-team: '*' --- {% data reusables.discussions.beta %} ### About collaboration with maintainers using discussions {% data reusables.discussions.about-discussions %} If you use or contribute to a project, you can start a discussion to make suggestions and engage with maintainers and community members about your plans, questions, ideas, and feedback. For more information, see "[‎About discussions](/discussions/collaborating-with-your-community-using-discussions/about-discussions)." {% data reusables.discussions.about-categories-and-formats %} Repository administrators and project maintainers can delete a discussion. For more information, see "[Managing discussions in your repository](/discussions/managing-discussions-for-your-community/managing-discussions-in-your-repository#deleting-a-discussion)." {% data reusables.discussions.github-recognizes-members %} These members appear in a list of the most helpful contributors to the project's discussions. As your project grows, you can grant higher access permissions to active members of your community. For more information, see "[Granting higher permissions to top contributors](/discussions/guides/granting-higher-permissions-to-top-contributors)"  For more information about participation in discussions, see "[Participating in a discussion](/discussions/collaborating-with-your-community-using-discussions/participating-in-a-discussion)." ### Prerequisites To collaborate with maintainers using discussions, a repository administrator or project maintainer must enable discussions for the repository. For more information, see "[Enabling or disabling discussions for a repository](/github/administering-a-repository/enabling-or-disabling-github-discussions-for-a-repository)." ### Starting a discussion {% data reusables.discussions.starting-a-discussion %} ### Filtering the list of discussions You can search for discussions and filter the list of discussions in a repository. For more information, see "[Searching discussions](/github/searching-for-information-on-github/searching-discussions)." {% data reusables.repositories.navigate-to-repo %} {% data reusables.discussions.discussions-tab %} 1. In the **Search all discussions** field, type a search query. Optionally, to the right of the search field, click a button to further filter the results.  1. In the list of discussions, click the discussion you want to view.  ### Converting an issue to a discussion {% data reusables.discussions.you-can-convert-an-issue %} For more information, see "[Moderating discussions in your repository](/discussions/managing-discussions-for-your-community/moderating-discussions#converting-an-issue-to-a-discussion#converting-an-issue-to-a-discussion)." ### Further reading - "[About writing and formatting on {% data variables.product.prodname_dotcom %}](/github/writing-on-github/about-writing-and-formatting-on-github)" - "[Maintaining your safety on {% data variables.product.prodname_dotcom %}](/github/building-a-strong-community/maintaining-your-safety-on-github)" 14 content/discussions/collaborating-with-your-community-using-discussions/index.md @@ -0,0 +1,14 @@ --- title: Collaborating with your community using discussions shortTitle: Collaborating using discussions intro: Gather and discuss your project with community members and other maintainers. versions: free-pro-team: '*' --- {% data reusables.discussions.beta %} {% link_in_list /about-discussions %} {% link_in_list /participating-in-a-discussion %} {% link_in_list /collaborating-with-maintainers-using-discussions %} 31 ...borating-with-your-community-using-discussions/participating-in-a-discussion.md @@ -0,0 +1,31 @@ --- title: Participating in a discussion intro: You can converse with the community and maintainers in a forum within the repository for a project on {% data variables.product.product_name %}. permissions: People with read permissions to a repository can participate in discussions in the repository. versions: free-pro-team: '*' --- {% data reusables.discussions.beta %} ### About participation in a discussion {% data reusables.discussions.about-discussions %} For more information, see "[About discussions](/discussions/collaborating-with-your-community-using-discussions/about-discussions)." In addition to starting or viewing a discussion, you can comment in response to the original comment from the author of the discussion. You can also create a comment thread by replying to an individual comment that another community member made within the discussion, and react to comments with emoji. For more information about reactions, see "[About conversations on {% data variables.product.prodname_dotcom %}](/github/collaborating-with-issues-and-pull-requests/about-conversations-on-github#reacting-to-ideas-in-comments)." You can block users and report disruptive content to maintain a safe and pleasant environment for yourself on {% data variables.product.product_name %}. For more information, see "[Maintaining your safety on {% data variables.product.prodname_dotcom %}](/github/building-a-strong-community/maintaining-your-safety-on-github)." ### Prerequisites Discussions must be enabled for the repository for you to participate in a discussion in the repository. For more information, see "[Enabling or disabling discussions for a repository](/github/administering-a-repository/enabling-or-disabling-github-discussions-for-a-repository)." ### Creating a discussion {% data reusables.discussions.starting-a-discussion %} ### Marking a comment as an answer Discussion authors and users with the triage role or greater for a repository can mark a comment as the answer to a discussion in the repository. {% data reusables.discussions.marking-a-comment-as-an-answer %} 49 content/discussions/guides/best-practices-for-community-conversations-on-github.md @@ -0,0 +1,49 @@ --- title: Best practices for community conversations on GitHub shortTitle: Best practices for community conversations intro: 'You can use discussions to brainstorm with your team, and eventually move the conversation to a discussion when you are ready to scope out the work.' versions: free-pro-team: '*' --- {% data reusables.discussions.beta %} ### Community conversations in {% data variables.product.prodname_discussions %} Since {% data variables.product.prodname_discussions %} is an open forum, there is an opportunity to bring non-code collaboration into a project's repository and gather diverse feedback and ideas more quickly. You can help drive a productive conversation by: - Asking pointed questions and follow-up questions to garner specific feedback - Capture a diverse experience and distill it down to main points - Open an issue to take action based on the conversation, where applicable For more information about opening an issue and cross-referencing a discussion, see "[Opening an issue from a comment](/github/managing-your-work-on-github/opening-an-issue-from-a-comment)." ### Learning about conversations on GitHub You can create and participate in discussions, issues, and pull requests, depending on the type of conversation you'd like to have. You can use {% data variables.product.prodname_discussions %} to discuss big picture ideas, brainstorm, and spike out a project's specific details before committing it to an issue, which can then be scoped. Discussions are useful for teams if: - You are in the discovery phase of a project and are still learning which director your team wants to go in - You want to collect feedback from a wider community about a project - You want to keep bug fixes, feature requests, and general conversations separate Issues are useful for discussing specific details of a project such as bug reports and planned improvements. For more information, see "[About issues](/articles/about-issues)." Pull requests allow you to comment directly on proposed changes. For more information, see "[About pull requests](/articles/about-pull-requests)" and "[Commenting on a pull request](/articles/commenting-on-a-pull-request)." {% data reusables.organizations.team-discussions-purpose %} For more information, see "[About team discussions](/articles/about-team-discussions)." ### Following contributing guidelines Before you open a discussion, check to see if the repository has contributing guidelines. The CONTRIBUTING file includes information about how the repository maintainer would like you to contribute ideas to the project. For more information, see "[Setting up your project for healthy contributions](/github/building-a-strong-community/setting-up-your-project-for-healthy-contributions)." ### Next steps To continue learning about {% data variables.product.prodname_discussions %} and quickly create a discussion for your community, see "[Quickstart for {% data variables.product.prodname_discussions %}](/discussions/quickstart)." ### Further reading - "[Setting up your project for healthy contributions](/articles/setting-up-your-project-for-healthy-contributions)" - "[Using templates to encourage useful issues and pull requests](/github/building-a-strong-community/using-templates-to-encourage-useful-issues-and-pull-requests)" - "[Moderating comments and conversations](/articles/moderating-comments-and-conversations)" - "[Writing on {% data variables.product.prodname_dotcom %}](/articles/writing-on-github)" 21 content/discussions/guides/finding-discussions-across-multiple-repositories.md @@ -0,0 +1,21 @@ --- title: Finding discussions across multiple repositories intro: 'You can easily access every discussion you''ve created or participated in across multiple repositories.' versions: free-pro-team: '*' --- {% data reusables.discussions.beta %} ### Finding discussions 1. Navigate to {% data variables.product.prodname_dotcom_the_website %}. 1. In the top-right corner of {% data variables.product.prodname_dotcom_the_website %}, click your profile photo, then click **Your enterprises**.  1. Toggle between **Created** and **Commented** to see the discussions you've created or participated in. ### Further reading - "[Searching discussions](/github/searching-for-information-on-github/searching-discussions)" - "[About discussions](/discussions/collaborating-with-your-community-using-discussions/about-discussions)" - "[Managing discussions for your community](/discussions/managing-discussions-for-your-community)" 32 content/discussions/guides/granting-higher-permissions-to-top-contributors.md @@ -0,0 +1,32 @@ --- title: Granting higher permissions to top contributors intro: 'Repository administrators can promote any community member to a moderator and maintainer.' versions: free-pro-team: '*' --- {% data reusables.discussions.beta %} ### Introduction The most helpful contributors for the past 30 days are highlighted on the {% data variables.product.prodname_discussions %} dashboard, based on how many comments were marked as answers by other community members. Helpful contributors can help drive a healthy community and moderate and guide the community space in addition to maintainers. ### Step 1: Audit your discussions top contributors {% data reusables.repositories.navigate-to-repo %} {% data reusables.discussions.discussions-tab %} 1. Compare the list of contributors with their access permissions to see who qualifies to moderate the discussion. ### Step 2: Review permission levels for discussions People with triage permissions for a repository can help moderate a project's discussions by marking comments as answers, locking discussions that are not longer useful or are damaging to the community, and converting issues to discussions when an idea is still in the early stages of development. For more information, see "[Moderating discussions](/discussions/managing-discussions-for-your-community/moderating-discussions)." For more information about repository permission levels and {% data variables.product.prodname_discussions %}, see "[Repository permissions levels for an organization](/github/setting-up-and-managing-organizations-and-teams/repository-permission-levels-for-an-organization)." ### Step 3: Change permissions levels for top contributors You can change a contributor's permission levels to give them more access to the tooling they need to moderate GitHub Discussions. To change a person's or team's permission levels, see "[Managing teams and people with access to your repository](/github/administering-a-repository/managing-teams-and-people-with-access-to-your-repository)." ### Step 4: Notify community members of elevated access When you change a collaborators permission level, they will receive a notification for the change. 29 content/discussions/guides/index.md @@ -0,0 +1,29 @@ --- title: Discussions guides shortTitle: Guides intro: 'Discover pathways to get started or learn best practices for participating or monitoring your community''s discussions.' versions: free-pro-team: '*' --- {% data reusables.discussions.beta %} ### Getting started with discussions {% link_in_list /about-discussions %} {% link_in_list /best-practices-for-community-conversations-on-github %} {% link_in_list /finding-discussions-across-multiple-repositories %} <!-- {% link_in_list /managing-notifications-for-discussions %} --> ### Administering discussions {% link_in_list /granting-higher-permissions-to-top-contributors %} <!--<!-- Commenting out what is only nice to have for discussions release {% link_in_list /updating-your-contributing-guidelines-with-discussions %} --> <!-- ### Discussions and open source projects {% link_in_list /collaborating-on-open-source-projects-in-discussions %} {% link_in_list /welcoming-contributions-to-your-communitys-discussions %} --> 55 content/discussions/index.md @@ -0,0 +1,55 @@ --- title: GitHub Discussions Documentation beta_product: true shortTitle: GitHub Discussions intro: '{% data variables.product.prodname_discussions %} is a collaborative communication forum for the community around an open source project. Community members can ask and answer questions, share updates, have open-ended conversations, and follow along on decisions affecting the community''s way of working.' introLinks: quickstart: /discussions/quickstart featuredLinks: guides: - /discussions/collaborating-with-your-community-using-discussions/about-discussions - /discussions/collaborating-with-your-community-using-discussions/participating-in-a-discussion - /discussions/managing-discussions-for-your-community/moderating-discussions gettingStarted: - /discussions/quickstart guideCards: - /discussions/collaborating-with-your-community-using-discussions/about-discussions - /discussions/collaborating-with-your-community-using-discussions/participating-in-a-discussion - /discussions/managing-discussions-for-your-community/moderating-discussions popular: - /discussions/guides/granting-higher-permissions-to-top-contributors - /discussions/guides/best-practices-for-community-conversations-on-github - /discussions/guides/finding-discussions-across-multiple-repositories - /discussions/collaborating-with-your-community-using-discussions/collaborating-with-maintainers-using-discussions - /discussions/managing-discussions-for-your-community/managing-categories-for-discussions-in-your-repository product_video: https://www.youtube-nocookie.com/embed/DbTWBP3_RbM layout: product-landing versions: free-pro-team: '*' --- <!-- {% link_with_intro /quickstart %} --> <!-- {% link_with_intro /discussions-guides %} --> <!-- {% link_with_intro /collaborating-with-your-community-using-discussions %} --> <!-- {% link_with_intro /managing-discussions-for-your-community %} --> <!-- Community examples --> {% assign discussionsCommunityExamples = site.data.variables.discussions_community_examples %} {% if discussionsCommunityExamples %} <div class="my-6 pt-6"> <h2 class="mb-2 font-mktg h1">Communities using discussions</h2> <div class="d-flex flex-wrap gutter"> {% render 'discussions-community-card' for discussionsCommunityExamples as example %} </div> {% if discussionsCommunityExamples.length > 6 %} <button class="js-filter-card-show-more btn btn-outline float-right">Show more {% octicon "arrow-right" %}</button> {% endif %} <div class="js-filter-card-no-results d-none py-4 text-center text-gray font-mktg"> <div class="mb-3">{% octicon "search" width="24" %}</div> <h3 class="text-normal">Sorry, there is no result for <strong class="js-filter-card-value"></strong></h3> <p class="my-3 f4">It looks like we don't have an example that fits your filter.<br>Try another filter or add your code example</p> <a href="https://github.com/github/docs/blob/main/data/variables/discussions_community_examples.yml">Add your community {% octicon "arrow-right" %}</a> </div> </div> {% endif %} 13 content/discussions/managing-discussions-for-your-community/index.md @@ -0,0 +1,13 @@ --- title: Managing discussions for your community shortTitle: Managing discussions intro: 'You can enable and configure discussions for your repository, and you can use tools on {% data variables.product.product_name %} to moderate conversations among community members.' versions: free-pro-team: '*' --- {% data reusables.discussions.beta %} {% link_in_list /managing-discussions-in-your-repository %} {% link_in_list /managing-categories-for-discussions-in-your-repository %} {% link_in_list /moderating-discussions %} 64 ...ns-for-your-community/managing-categories-for-discussions-in-your-repository.md @@ -0,0 +1,64 @@ --- title: Managing categories for discussions in your repository intro: You can categorize the discussions in your repository to organize conversations for your community members, and you can choose a format for each category. permissions: Repository administrators and people with write or greater access to a repository can enable discussions in the repository. versions: free-pro-team: '*' --- {% data reusables.discussions.beta %} ### About categories for discussions {% data reusables.discussions.about-discussions %} {% data reusables.discussions.about-categories-and-formats %} Each category must have a unique name and emoji pairing, and can be accompanied by a detailed description stating its purpose. Categories help maintainers organize how conversations are filed and are customizable to help distinguish categories that are Q&A or more open-ended conversations.{% data reusables.discussions.repository-category-limit %} For more information, see "[About discussions](/discussions/collaborating-with-your-community-using-discussions/about-discussions#about-categories-and-formats-for-discussions)." ### Default categories | Category | Purpose | Type | | :- | :- | :- | | #️⃣ General | Anything and everything relevant to the project | Open-ended discussion | |💡Ideas | Ideas to change or improve the project | Open-ended discussion | | 🙏 Q&A | Questions for the community to answer, with a question/answer format | Question and Answer | | 🙌 Show and tell | Creations, experiments, or tests relevant to the project | Open-ended discussion | ### Creating a category {% data reusables.repositories.navigate-to-repo %} {% data reusables.discussions.discussions-tab %} {% data reusables.discussions.edit-categories %} 1. Click **New category**.  1. Edit the emoji, title, description, and discussion format for the category. For more information about discussion formats, see "[About discussions](/discussions/collaborating-with-your-community-using-discussions/about-discussions#about-categories-and-formats-for-discussions)."  1. Click **Create**.  ### Editing a category You can edit a category to change the category's emoji, title, description, and discussion format. {% data reusables.repositories.navigate-to-repo %} {% data reusables.discussions.discussions-tab %} 1. To the right of a category in the list, click {% octicon "pencil" aria-label="The pencil icon" %}.  1. {% data reusables.discussions.edit-category-details %}  1. Click **Save changes**.  ### Deleting a category When you delete a category, {% data variables.product.product_name %} will move all discussions in the deleted category to an existing category that you choose. {% data reusables.repositories.navigate-to-repo %} {% data reusables.discussions.discussions-tab %} 1. To the right of a category in the list, click {% octicon "trash" aria-label="The trash icon" %}.  1. Use the drop-down menu, and choose a new category for any discussions in the category you're deleting.  1. Click **Delete & Move**.  108 ...aging-discussions-for-your-community/managing-discussions-in-your-repository.md @@ -0,0 +1,108 @@ --- title: Managing discussions in your repository intro: You can categorize, spotlight, transfer, or delete the discussions in a repository. permissions: Repository administrators and people with write or greater access to a repository can manage discussions in the repository. versions: free-pro-team: '*' --- {% data reusables.discussions.beta %} ### About management of discussions {% data reusables.discussions.about-discussions %} For more information about discussions, see "[About discussions](/discussions/collaborating-with-your-community-using-discussions/about-discussions)." Organization owners can choose the permissions required to create a discussion for repositories owned by the organization. For more information, see "[Managing discussion creation for repositories in your organization](/github/setting-up-and-managing-organizations-and-teams/managing-discussion-creation-for-repositories-in-your-organization)." As a discussions maintainer, you can create community resources to encourage discussions that are aligned with the overall project goal and maintain a friendly open forum for collaborators. Creating a code of conduct or contribution guidelines for collaborators to follow will help facilitate a collaborative and productive forum. For more information on creating community resources, see "[Adding a code of conduct to your project](/github/building-a-strong-community/adding-a-code-of-conduct-to-your-project)," and "[Setting guidelines for repository contributors](/github/building-a-strong-community/setting-guidelines-for-repository-contributors)." For more information on facilitating a healthy discussion, see "[Moderating comments and conversations](/github/building-a-strong-community/moderating-comments-and-conversations)." ### Prerequisites To manage discussions in a repository, discussions must be enabled for the repository. For more information, see "[Enabling or disabling discussions for a repository](/github/administering-a-repository/enabling-or-disabling-github-discussions-for-a-repository)." ### Changing the category for a discussion You can categorize discussions to help community members find related discussions. For more information, see "[Managing categories for discussions in your repository](/discussions/managing-discussions-for-your-community/managing-categories-for-discussions-in-your-repository)" article. You can also move a discussion to a different category. {% data reusables.repositories.navigate-to-repo %} {% data reusables.discussions.discussions-tab %} {% data reusables.discussions.click-discussion-in-list %} 1. In the right sidebar, click {% octicon "pencil" aria-label="The pencil icon" %} **Edit pinned discussion**.  ### Pinning a discussion You can pin up to four important discussions above the list of discussions for the repository. {% data reusables.repositories.navigate-to-repo %} {% data reusables.discussions.discussions-tab %} {% data reusables.discussions.click-discussion-in-list %} 1. In the right sidebar, click {% octicon "pin" aria-label="The pin icon" %} **Pin discussion**.  1. Optionally, customize the look of the pinned discussion.  1. Click **Pin discussion**.  ### Editing a pinned discussion Editing a pinned discussion will not change the discussion's category. For more information, see "[Managing categories for discussions in your repository](/discussions/managing-discussions-for-your-community/managing-categories-for-discussions-in-your-repository)." {% data reusables.repositories.navigate-to-repo %} {% data reusables.discussions.discussions-tab %} {% data reusables.discussions.click-discussion-in-list %} 1. In the right sidebar, click {% octicon "pencil" aria-label="The pencil icon" %} **Edit pinned discussion**.  1. Customize the look of the pinned discussion.  1. Click **Pin discussion**.  ### Unpinning a discussion {% data reusables.repositories.navigate-to-repo %} {% data reusables.discussions.discussions-tab %} {% data reusables.discussions.click-discussion-in-list %} 1. In the right sidebar, click {% octicon "pin" aria-label="The pin icon" %} **Unpin discussion**.  1. Read the warning, then click **Unpin discussion**.  ### Transferring a discussion To transfer a discussion, you must have permissions to create discussions in the repository where you want to transfer the discussion. {% data reusables.repositories.navigate-to-repo %} {% data reusables.discussions.discussions-tab %} {% data reusables.discussions.click-discussion-in-list %} 1. In the right sidebar, click {% octicon "arrow-right" aria-label="The right arrow icon" %} **Transfer discussion**.  1. Select the **Choose a repository** drop-down, and click the repository you want to transfer the discussion to.  1. Click **Transfer discussion**.  ### Deleting a discussion {% data reusables.repositories.navigate-to-repo %} {% data reusables.discussions.discussions-tab %} {% data reusables.discussions.click-discussion-in-list %} 1. In the right sidebar, click {% octicon "trash" aria-label="The trash arrow icon" %} **Delete discussion**.  1. Read the warning, then click **Delete this discussion**.  ### Converting issues based on labels You can convert all issues with the same label to discussions in bulk. Future issues with this label will also automatically convert to the discussion and category you configure. {% data reusables.repositories.navigate-to-repo %} {% data reusables.repositories.sidebar-issues %} {% data reusables.project-management.labels %} 1. Next to the label you want to convert to issues, click **Convert issues**. 1. Select the **Choose a category** drop-down menu, and click a category for your discussion. 1. Click **I understand, convert this issue to a discussion**. 40 ...t/discussions/managing-discussions-for-your-community/moderating-discussions.md @@ -0,0 +1,40 @@ --- title: Moderating discussions intro: 'You can promote healthy collaboration by marking comments as answers, locking or unlocking discussions, and converting issues to discussions. and editing or deleting comments, discussions, and categories that don''t align with your community''s code of conduct to discussions.' permissions: People with triage access to a repository can moderate discussions in the repository. versions: free-pro-team: '*' --- {% data reusables.discussions.beta %} ### About moderating discussions {% data reusables.discussions.about-discussions %} If you have triage permissions for a repository, you can help moderate a project's discussions by marking comments as answers, locking discussions that are not longer useful or are damaging to the community, and converting issues to discussions when an idea is still in the early stages of development. ### Marking a comment as an answer {% data reusables.discussions.marking-a-comment-as-an-answer %} ### Locking discussions It's appropriate to lock a conversation when the entire conversation is not constructive or violates your community's code of conduct or {% data variables.product.prodname_dotcom %}'s [Community Guidelines](/github/site-policy/github-community-guidelines). You can also lock a conversation to prevent comments on a discussion you want to use as an announcement to the community. When you lock a conversation, people with write access to the repository will still be able to comment on the discussion. {% data reusables.repositories.navigate-to-repo %} {% data reusables.discussions.discussions-tab %} 1. In the list of discussions, click the discussion you want to lock.  1. In the right margin of a discussion, click **Lock conversation**. 1. Read the information about locking conversations and click **Lock conversation on this discussion**. 1. When you're ready to unlock the conversation, click **Unlock conversation**, then click **Unlock conversation on this discussion**. ### Converting an issue to a discussion When you convert an issue to a discussion, the discussion is automatically created using the content from the issue. People with write access to a repository can bulk convert issues based on labels. For more information, see "[Managing discussions in your repository](/discussions/managing-discussions-for-your-community/managing-discussions-in-your-repository)." {% data reusables.repositories.navigate-to-repo %} {% data reusables.repositories.sidebar-issues %} 1. In the list of issues, click the issue you'd like to convert. 1. In the right margin of an issue, click **Convert to discussion**. 1. Select the **Choose a category** drop-down menu, and click a category for your discussion. 1. Click **I understand, convert this issue to a discussion**. 62 content/discussions/quickstart.md @@ -0,0 +1,62 @@ --- title: Quickstart for GitHub Discussions intro: 'Enable {% data variables.product.prodname_discussions %} on an existing repository and start conversations with your community.' allowTitleToDifferFromFilename: true versions: free-pro-team: '*' --- {% data reusables.discussions.beta %} ### Introduction {% data variables.product.prodname_discussions %} is a collaborative communication forum for the community around an open source project. Discussions are for conversations that need to be transparent and accessible but do not need to be tracked on a project board and are not related to code, unlike issues. Discussions enable fluid, open conversation in a public forum. Discussions give a space for more collaborative conversations by connecting and giving a more centralized area to connect and find information. ### Enabling {% data variables.product.prodname_discussions %} on your repository Repository owners and people with write access can enable {% data variables.product.prodname_discussions %} for a community on their public repositories. When you first enable a {% data variables.product.prodname_discussions %}, you will be invited to configure a welcome post. {% data reusables.repositories.navigate-to-repo %} 1. Under your repository name, click {% octicon "gear" aria-label="The gear icon" %} **Settings**.  1. Under "Features", click **Set up discussions**.  1. Under "Start a new discussion," edit the template to align with the resources and tone you want to set for your community. 1. Click **Start discussion**.  ### Welcoming contributions to your discussions You can welcome your community and introduce a new way to communicate in a repository by creating a welcome post and pin the post to your {% data variables.product.prodname_discussions %} page. Pinning and locking discussions helps people know that a post is meant as an announcement. You can use announcements as a way to link people to more resources and offer guidance for opening discussions in your community. For more information about pinning a discussion, see "[Managing discussions in your repository](/discussions/managing-discussions-for-your-community/managing-discussions-in-your-repository#pinning-a-discussion)." ### Setting up community guidelines for contributors You can set contributing guidelines to encourage collaborators to have meaningful, useful conversations that are relevant to the repository. You can also update the repository's README to communicate expectations on when collaborators should open an issue or discussion. For more information about providing guidelines for your project, see "[Adding a code of conduct to your project](/github/building-a-strong-community/adding-a-code-of-conduct-to-your-project)" and "[Setting up your project for healthy contributions](/github/building-a-strong-community/setting-up-your-project-for-healthy-contributions)." ### Creating a new discussion Anyone with access to a repository can create a discussion. {% data reusables.discussions.starting-a-discussion %} ### Organizing discussions into relevant categories Repository owners and people with write access can create new categories to keep discussions organized. Collaborators participating and creating new discussions can group discussions into the most relevant existing categories. Discussions can also be recategorized after they are created. For more information, see "[Managing categories for discussions in your repository](/discussions/managing-discussions-for-your-community/managing-categories-for-discussions-in-your-repository)" ### Promoting healthy conversations People with write permissions for a repository can help surface important conversations by pinning discussions, deleting discussions that are no longer useful or are damaging to the community, and transferring discussions to more relevant repositories owned by the organization. For more information, see "[Managing discussions in your repository](/discussions/managing-discussions-for-your-community/managing-discussions-in-your-repository)." People with triage permissions for a repository can help moderate a project's discussions by marking comments as answers, locking discussions that are not longer useful or are damaging to the community, and converting issues to discussions when an idea is still in the early stages of development. For more information, see "[Moderating discussions](/discussions/managing-discussions-for-your-community/moderating-discussions)." ### Next steps Once there is a clear path to scope work out and move an idea from concept to reality, you can create an issue and start tracking your progress. For more information on creating an issue from a discussion, see "[Moderating discussions](/discussions/managing-discussions-for-your-community/moderating-discussions)." 45 content/education/guides.md @@ -0,0 +1,45 @@ --- title: Guides for GitHub Education intro: 'These guides for {% data variables.product.prodname_education %} help you teach and learn both {% data variables.product.product_name %} and software development.' allowTitleToDifferFromFilename: true versions: free-pro-team: '*' --- ### Get started with {% data variables.product.product_name %} Teachers, students, and researchers can use tools from {% data variables.product.product_name %} to enrich a software development curriculum and develop real-world collaboration skills. - [Sign up for a new {% data variables.product.prodname_dotcom %} account](/github/getting-started-with-github/signing-up-for-a-new-github-account) - [Git and {% data variables.product.prodname_dotcom %} quickstart ](/github/getting-started-with-github/quickstart) - [Apply for an educator or researcher discount](/education/teach-and-learn-with-github-education/apply-for-an-educator-or-researcher-discount) - [Apply for a student developer pack](/education/teach-and-learn-with-github-education/apply-for-a-student-developer-pack) ### Run a software development course with {% data variables.product.company_short %} Administer a classroom, assign and review work from your students, and teach the new generation of software developers with {% data variables.product.prodname_classroom %}. - [Basics of setting up {% data variables.product.prodname_classroom %} ](/education/manage-coursework-with-github-classroom/basics-of-setting-up-github-classroom) - [Manage classrooms](/education/manage-coursework-with-github-classroom/manage-classrooms) - [Create an individual assignment](/education/manage-coursework-with-github-classroom/create-an-individual-assignment) - [Create a group assignment](/education/manage-coursework-with-github-classroom/create-a-group-assignment) - [Create an assignment from a template repository](/education/manage-coursework-with-github-classroom/create-an-assignment-from-a-template-repository) - [Leave feedback with pull requests](/education/manage-coursework-with-github-classroom/leave-feedback-with-pull-requests) - [Use autograding](/education/manage-coursework-with-github-classroom/use-autograding) ### Learn to develop software Incorporate {% data variables.product.prodname_dotcom %} into your education, and use the same tools as the professionals. - [Git and {% data variables.product.prodname_dotcom %} learning resources](/github/getting-started-with-github/git-and-github-learning-resources) - [Use {% data variables.product.prodname_dotcom %} for your schoolwork](/education/teach-and-learn-with-github-education/use-github-for-your-schoolwork) - [Try {% data variables.product.prodname_desktop %}](/desktop) - [Try {% data variables.product.prodname_cli %}](/github/getting-started-with-github/github-cli) ### Contribute to the community Participate in the community, get training from {% data variables.product.company_short %}, and learn or teach new skills. - [{% data variables.product.prodname_education_community %}](https://education.github.community) - [About Campus Experts](/education/teach-and-learn-with-github-education/about-campus-experts) - [About Campus Advisors](/education/teach-and-learn-with-github-education/about-campus-advisors) 43 content/education/index.md @@ -0,0 +1,43 @@ --- title: GitHub Education Documentation shortTitle: Education intro: "{% data variables.product.prodname_education %} helps you teach or learn software development with the tools and support of {% data variables.product.company_short %}'s platform and community." introLinks: quickstart: /education/quickstart featuredLinks: guides: - /education/teach-and-learn-with-github-education/apply-for-a-student-developer-pack - /education/teach-and-learn-with-github-education/apply-for-an-educator-or-researcher-discount - /education/teach-and-learn-with-github-education/use-github-at-your-educational-institution guideCards: - /github/getting-started-with-github/signing-up-for-a-new-github-account - /github/getting-started-with-github/git-and-github-learning-resources - /education/manage-coursework-with-github-classroom/basics-of-setting-up-github-classroom popular: - /education/teach-and-learn-with-github-education/use-github-for-your-schoolwork - /education/teach-and-learn-with-github-education/use-github-in-your-classroom-and-research - /desktop - /github/getting-started-with-github/github-cli - /education/manage-coursework-with-github-classroom/teach-with-github-classroom changelog: - title: 'Try something new at Local Hack Day: Learn' date: '2020-10-15' href: https://github.blog/2020-10-15-try-something-new-at-local-hack-day-learn/ - title: 'Remote Education: Creating community through shared experiences' date: '2020-09-24' href: https://github.blog/2020-09-24-remote-education-creating-community-through-shared-experiences/ - title: 'Remote Education: A series of best practices for online campus communities' date: '2020-09-10' href: https://github.blog/2020-09-10-remote-education-a-series-of-best-practices-for-online-campus-communities/ - title: Welcome to the inaugural class of MLH Fellows date: '2020-06-24' href: https://github.blog/2020-06-24-welcome-to-the-inaugural-class-of-mlh-fellows/ layout: product-landing versions: free-pro-team: '*' --- <!-- {% link_with_intro /teach-and-learn-with-github-education %} --> <!-- {% link_with_intro /manage-coursework-with-github-classroom %} --> 31 ...work-with-github-classroom/about-using-makecode-arcade-with-github-classroom.md @@ -0,0 +1,31 @@ --- title: About using MakeCode Arcade with GitHub Classroom shortTitle: About using MakeCode Arcade intro: You can configure MakeCode Arcade as the online IDE for assignments in {% data variables.product.prodname_classroom %}. versions: free-pro-team: '*' redirect_from: - /education/manage-coursework-with-github-classroom/student-experience-makecode --- ### About MakeCode Arcade MakeCode Arcade is an online integrated development environment (IDE) for developing retro arcade games using drag-and-drop block programming and JavaScript. Students can write, edit, run, test, and debug code in a browser with MakeCode Arcade. For more information about online IDEs and {% data variables.product.prodname_classroom %}, see "[Integrate {% data variables.product.prodname_classroom %} with an online IDE](/education/manage-coursework-with-github-classroom/integrate-github-classroom-with-an-online-ide)." {% data reusables.classroom.readme-contains-button-for-online-ide %} The first time the student clicks the button to visit MakeCode Arcade, the student must sign into MakeCode Arcade with {% data variables.product.product_name %} credentials. After signing in, the student will have access to a development environment containing the code from the assignment repository, fully configured on MakeCode Arcade. For more information about working on MakeCode Arcade, see the [MakeCode Arcade Tour](https://arcade.makecode.com/ide-tour) and [documentation](https://arcade.makecode.com/docs) on the MakeCode Arcade website. MakeCode Arcade does not support multiplayer-editing for group assignments. Instead, students can collaborate with Git and {% data variables.product.product_name %} features like branches and pull requests. ### About submission of assignments with MakeCode Arcade By default, MakeCode Arcade is configured to push to the assignment repository on {% data variables.product.product_location %}. After making progress on an assignment with MakeCode Arcade, students should push changes to {% data variables.product.product_location %} using the {% octicon "mark-github" aria-label="The GitHub mark" %}{% octicon "arrow-up" aria-label="The up arrow icon" %} button at the bottom of the screen.  ### Further reading - "[About READMEs](/github/creating-cloning-and-archiving-repositories/about-readmes)" 33 ...ge-coursework-with-github-classroom/about-using-replit-with-github-classroom.md @@ -0,0 +1,33 @@ --- title: About using Repl.it with GitHub Classroom shortTitle: About using Repl.it intro: You can configure Repl.it as the online integrated development environment (IDE) for assignments in {% data variables.product.prodname_classroom %}. versions: free-pro-team: '*' redirect_from: - /education/manage-coursework-with-github-classroom/student-experience-replit --- ### About Repl.it Repl.it is an online integrated development environment (IDE) that supports multiple programming languages. Students can write, edit, run, test, and debug code in a browser with Repl.it. For more information about online IDEs and {% data variables.product.prodname_classroom %}, see "[Integrate {% data variables.product.prodname_classroom %} with an online IDE](/education/manage-coursework-with-github-classroom/integrate-github-classroom-with-an-online-ide)." {% data reusables.classroom.readme-contains-button-for-online-ide %} The first time the student clicks the button to visit Repl.it, the student must sign into Repl.it with {% data variables.product.product_name %} credentials. After signing in, the student will have access to a development environment containing the code from the assignment repository, fully configured on Repl.it. For more information about working on Repl.it, see the [Repl.it Quickstart Guide](https://docs.repl.it/misc/quick-start#the-repl-environment). For group assignments, students can use Repl.it Multiplayer to work collaboratively. For more information, see the [Repl.it Multiplayer](https://repl.it/site/multiplayer) website. ### About submission of assignments with Repl.it By default, Repl.it is configured to push to the assignment repository on {% data variables.product.product_location %}. After making progress on an assignment with Repl.it, students should push changes to {% data variables.product.product_location %} using the version control functionality in the left sidebar.  For more information about using Git on Repl.it, see the [Repl.it + Git Tutorial](https://repl.it/talk/learn/Replit-Git-Tutorial/23331) on the Repl.it website. ### Further reading - "[About READMEs](/github/creating-cloning-and-archiving-repositories/about-readmes)" 33 ...anage-coursework-with-github-classroom/basics-of-setting-up-github-classroom.md @@ -0,0 +1,33 @@ --- title: Basics of setting up GitHub Classroom shortTitle: '{% data variables.product.prodname_classroom %} basics' intro: Learn how to set up your classroom, manage assignments, and configure time-saving automation. versions: free-pro-team: '*' --- ### Videos about {% data variables.product.prodname_classroom %} You can watch a series of short video tutorials about the configuration and use of {% data variables.product.prodname_classroom %}. To watch all videos as part of a continuous playlist, see the [{% data variables.product.prodname_classroom %} Getting Started Guide](https://www.youtube.com/playlist?list=PLIRjfNq867bewk3ZGV6Z7a16YDNRCpK3u) on YouTube. For more information about terminology for {% data variables.product.prodname_classroom %}, see "[Glossary](/education/manage-coursework-with-github-classroom/glossary)". 1. <a href="https://youtu.be/xVVeqIDgCvM" target="_blank">Getting started</a> {% octicon "link-external" aria-label="The external link icon" %} 2. <a href="https://youtu.be/DTzrKduaHj8" target="_blank">Adding your student roster</a> {% octicon "link-external" aria-label="The external link icon" %} 3. Creating assignments - <a href="https://youtu.be/6QzKZ63KLss" target="_blank">Creating an assignment using a {% data variables.product.prodname_dotcom %} repository</a> {% octicon "link-external" aria-label="The external link icon" %} - <a href="https://youtu.be/Qmwh6ijsQJU" target="_blank">Creating an assignment using Microsoft MakeCode as your online IDE</a> {% octicon "link-external" aria-label="The external link icon" %} - <a href="https://youtu.be/p_g5sQ7hUis" target="_blank">Creating an assignment using Repl.it as your online IDE</a> {% octicon "link-external" aria-label="The external link icon" %} 4. <a href="https://youtu.be/ObaFRGp_Eko" target="_blank">How students complete assignments</a> {% octicon "link-external" aria-label="The external link icon" %} 5. <a href="https://youtu.be/g45OJn3UyCU" target="_blank">How teachers review assignments</a> {% octicon "link-external" aria-label="The external link icon" %} 6. <a href="https://youtu.be/QxrA3taZdNM" target="_blank">Creating group assignments</a> {% octicon "link-external" aria-label="The external link icon" %} 7. <a href="https://youtu.be/tJK2cmoh1KM" target="_blank">Next steps to get started</a> {% octicon "link-external" aria-label="The external link icon" %} 8. <a href="https://youtu.be/X87v3SFQxLU" target="_blank">{% data variables.product.prodname_dotcom %} Teacher Toolbox</a> {% octicon "link-external" aria-label="The external link icon" %} ### Next steps For more information about teaching with {% data variables.product.prodname_classroom %}, see "[Teach with {% data variables.product.prodname_classroom %}](/education/manage-coursework-with-github-classroom/teach-with-github-classroom)." ### Further reading - "[Teach and learn with {% data variables.product.prodname_education %}](/education/teach-and-learn-with-github-education)" 51 ...with-github-classroom/configure-default-settings-for-assignment-repositories.md @@ -0,0 +1,51 @@ --- title: Configure default settings for assignment repositories shortTitle: Configure defaults for assignment repositories intro: You can use the Probot Settings app to configure the default settings for repositories that {% data variables.product.prodname_classroom %} creates for an assignment. permissions: Organization owners can configure default settings for assignment repositories by installing a {% data variables.product.prodname_github_app %} for the organization. versions: free-pro-team: '*' redirect_from: - /education/manage-coursework-with-github-classroom/probot-settings --- ### About configuration of defaults for assignment repositories {% data variables.product.prodname_classroom %} creates a repository that belongs for each student or team that accepts an assignment. The repository belongs to the organization that you use for {% data variables.product.prodname_classroom %}. Assignment repositories can be empty, or you can use a template repository. For more information, see "[Create an assignment from a template repository](/education/manage-coursework-with-github-classroom/create-an-assignment-from-a-template-repository)." {% data reusables.classroom.you-may-want-to-predefine-repository-settings %} With the Probot Settings app, you can create a file named _.github/settings.yml_ in a repository that contains a list of settings for the repository, and then install a {% data variables.product.prodname_github_app %} for your organization that automatically applies the settings to the repository. You can include _.github/settings.yml_ in a template repository that you use for an assignment in {% data variables.product.prodname_classroom %}. When an individual or team accepts the assignment, {% data variables.product.prodname_classroom %} creates the assignment repository, and the Settings app automatically applies the settings from _.github/settings.yml_. Probot is a a project, framework, and collection of free apps to automate {% data variables.product.product_name %}. A Probot app can listen to repository events, like the creation of new commits, comments, and issues, and automatically respond to the event. For more information, see the [Probot website](https://probot.github.io) and the [Settings app website](https://probot.github.io/apps/settings/). For more information about {% data variables.product.prodname_github_apps %}, see "[About apps](/developers/apps/about-apps)." ### Adding the Settings app to your organization After you install the Probot Settings app for your organization, the app will apply the settings that you define in _.github/settings.yml_ for any repository in your organization, including new assignment repositories that {% data variables.product.prodname_classroom %} creates. 1. Navigate to the [Settings app page](https://github.com/apps/settings). 1. Click **Install**, then click the organization that you use for {% data variables.product.prodname_classroom %}. Provide the app full access to all repositories owned by the organization.  ### Configuring default settings for an assignment repository 1. Create a template repository that contains a _.github/settings.yml_ file. For a complete list of settings, see the [README](https://github.com/probot/settings#github-settings) for the `probot/settings` repository. For more information about using a template repository for starter code in {% data variables.product.prodname_classroom %}, see "[Create an assignment from a template repository](/education/manage-coursework-with-github-classroom/create-an-assignment-from-a-template-repository)." {% warning %} **Warning:** Do not define `collaborators` in the _.github/settings.yml_ file for your template repository. {% data variables.product.prodname_classroom %} automatically grants teachers and teaching assistants access to assignment repositories. {% endwarning %} 1. Create an assignment using the template repository containing _.github/settings.yml_ as the starter code. {% data reusables.classroom.for-more-information-about-assignment-creation %} The Probot Settings app for your organization will now apply the settings you define in _.github/settings.yml_ within the template repository to every assignment repository that {% data reusables.classroom.you-may-want-to-predefine-repository-settings %} creates for a student or team. ### Further reading - [Probot apps](https://probot.github.io/apps/) - [Probot documentation](https://probot.github.io/docs/) 142 ...th-github-classroom/connect-a-learning-management-system-to-github-classroom.md @@ -0,0 +1,142 @@ --- title: Connect a learning management system to GitHub Classroom intro: You can configure an LTI-compliant learning management system (LMS) to connect to {% data variables.product.prodname_classroom %} so that you can import a roster for your classroom. versions: free-pro-team: '*' redirect_from: - /education/manage-coursework-with-github-classroom/configuring-a-learning-management-system-for-github-classroom - /education/manage-coursework-with-github-classroom/connect-to-lms - /education/manage-coursework-with-github-classroom/generate-lms-credentials - /education/manage-coursework-with-github-classroom/setup-canvas - /education/manage-coursework-with-github-classroom/setup-generic-lms - /education/manage-coursework-with-github-classroom/setup-moodle --- ### About configuration of your LMS You can connect a learning management system (LMS) to {% data variables.product.prodname_classroom %}, and {% data variables.product.prodname_classroom %} can import a roster of student identifiers from the LMS. To connect your LMS to {% data variables.product.prodname_classroom %}, you must enter configuration credentials for {% data variables.product.prodname_classroom %} in your LMS. ### Prerequisites To configure an LMS to connect to {% data variables.product.prodname_classroom %}, you must first create a classroom. For more information, see "[Manage classrooms](/education/manage-coursework-with-github-classroom/manage-classrooms#creating-a-classroom)." ### Supported LMSes {% data variables.product.prodname_classroom %} supports import of roster data from LMSes that implement Learning Tools Interoperability (LTI) standards. - LTI version 1.0 and/or 1.1 - LTI Names and Roles Provisioning 1.X Using LTI helps keep your information safe and secure. LTI is an industry-standard protocol and GitHub Classroom's use of LTI is certified by the Instructional Management System (IMS) Global Learning Consortium. For more information, see [Learning Tools Interoperability](https://www.imsglobal.org/activity/learning-tools-interoperability) and [About IMS Global Learning Consortium](http://www.imsglobal.org/aboutims.html) on the IMS Global Learning Consortium website. {% data variables.product.company_short %} has tested import of roster data from the following LMSes into {% data variables.product.prodname_classroom %}. - Canvas - Google Classroom - Moodle - Sakai Currently, {% data variables.product.prodname_classroom %} doesn't support import of roster data from Blackboard or Brightspace ### Generating configuration credentials for your classroom {% data reusables.classroom.sign-into-github-classroom %} {% data reusables.classroom.click-classroom-in-list %} {% data reusables.classroom.click-students %} 1. If your classroom already has a roster, you can either update the roster or delete the roster and create a new roster. - For more information about deleting and creating a roster, see "[Deleting a roster for a classroom](/education/manage-coursework-with-github-classroom/manage-classrooms#deleting-a-roster-for-a-classroom)" and "[Creating a roster for your classroom](/education/manage-coursework-with-github-classroom/manage-classrooms#creating-a-roster-for-your-classroom)." - For more information about updating a roster, see "[Adding students to the roster for your classroom](/education/manage-coursework-with-github-classroom/manage-classrooms#adding-students-to-the-roster-for-your-classroom)." 1. In the list of LMSes, click your LMS. If your LMS is not supported, click **Other LMS**.  1. Read about connecting your LMS, then click **Connect to _LMS_**. 1. Copy the "Consumer Key", "Shared Secret", and "Launch URL" for the connection to the classroom.  ### Configuring a generic LMS You must configure the privacy settings for your LMS to allow external tools to receive roster information. 1. Navigate to your LMS. 1. Configure an external tool. 1. Provide the configuration credentials you generated in {% data variables.product.prodname_classroom %}. - Consumer key - Shared secret - Launch URL (sometimes called "tool URL" or similar) ### Configuring Canvas You can configure {% data variables.product.prodname_classroom %} as an external app for Canvas to import roster data into your classroom. For more information about Canvas, see the [Canvas website](https://www.instructure.com/canvas/). 1. Sign into [Canvas](https://www.instructure.com/canvas/#login). 1. Select the Canvas course to integrate with {% data variables.product.prodname_classroom %}. 1. In the left sidebar, click **Settings**. 1. Click the **Apps** tab. 1. Click **View app configurations**. 1. Click **+App**. 1. Select the **Configuration Type** drop-down menu, and click **By URL**. 1. Paste the configuration credentials from {% data variables.product.prodname_classroom %}. For more information, see "[Generating configuration credentials for your classroom](#generating-configuration-credentials-for-your-classroom)." | Field in Canvas app configuration | Value or setting | | :- | :- | | **Consumer Key** | Consumer key from {% data variables.product.prodname_classroom %} | | **Shared Secret** | Shared secret from {% data variables.product.prodname_classroom %} | | **Allow this tool to access the IMS Names and Role Provisioning Service** | Enabled | | **Configuration URL** | Launch URL from {% data variables.product.prodname_classroom %} | {% note %} **Note**: If you don't see a checkbox in Canvas labeled "Allow this tool to access the IMS Names and Role Provisioning Service", then your Canvas administrator must contact Canvas support to enable membership service configuration for your Canvas account. Without enabling this feature, you won't be able to sync the roster from Canvas. For more information, see [How do I contact Canvas Support?](https://community.canvaslms.com/t5/Canvas-Basics-Guide/How-do-I-contact-Canvas-Support/ta-p/389767) on the Canvas website. {% endnote %} 1. Click **Submit**. 1. In the left sidebar, click **Home**. 1. To prompt Canvas to send a confirmation email, in the left sidebar, click **GitHub Classroom**. Follow the instructions in the email to finish linking {% data variables.product.prodname_classroom %}. ### Configuring Moodle You can configure {% data variables.product.prodname_classroom %} as an activity for Moodle to import roster data into your classroom. For more information about Moodle, see the [Moodle website](https://moodle.org). You must be using Moodle version 3.0 or greater. 1. Sign into [Moodle](https://moodle.org/login/index.php). 1. Select the Moodle course to integrate with {% data variables.product.prodname_classroom %}. 1. Click **Turn editing on**. 1. Wherever you'd like {% data variables.product.prodname_classroom %} to be available in Moodle, click **Add an activity or resource**. 1. Choose **External tool** and click **Add**. 1. In the "Activity name" field, type "GitHub Classroom". 1. In the **Preconfigured tool** field, to the right of the drop-down menu, click **+**. 1. Under "External tool configuration", paste the configuration credentials from {% data variables.product.prodname_classroom %}. For more information, see "[Generating configuration credentials for your classroom](#generating-configuration-credentials-for-your-classroom)." | Field in Moodle app configuration | Value or setting | | :- | :- | | **Tool name** | {% data variables.product.prodname_classroom %} - _YOUR CLASSROOM NAME_<br/><br/>**Note**: You can use any name, but we suggest this value for clarity. | | **Tool URL** | Launch URL from {% data variables.product.prodname_classroom %} | | **LTI version** | LTI 1.0/1.1 | | **Default launch container** | New window | | **Consumer key** | Consumer key from {% data variables.product.prodname_classroom %} | | **Shared secret** | Shared secret from {% data variables.product.prodname_classroom %} | 1. Scroll to and click **Services**. 1. To the right of "IMS LTI Names and Role Provisioning", select the drop-down menu and click **Use this service to retrieve members' information as per privacy settings**. 1. Scroll to and click **Privacy**. 1. To the right of **Share launcher's name with tool** and **Share launcher's email with tool**, select the drop-down menus to click **Always**. 1. At the bottom of the page, click **Save changes**. 1. In the **Preconfigure tool** menu, click **GitHub Classroom - _YOUR CLASSROOM NAME_**. 1. Under "Common module settings", to the right of "Availability", select the drop-down menu and click **Hide from students**. 1. At the bottom of the page, click **Save and return to course**. 1. Navigate to anywhere you chose to display {% data variables.product.prodname_classroom %}, and click the {% data variables.product.prodname_classroom %} activity. ### Importing a roster from your LMS For more information about importing the roster from your LMS into {% data variables.product.prodname_classroom %}, see "[Manage classrooms](/education/manage-coursework-with-github-classroom/manage-classrooms#creating-a-roster-for-your-classroom)." ### Disconnecting your LMS {% data reusables.classroom.sign-into-github-classroom %} {% data reusables.classroom.click-classroom-in-list %} {% data reusables.classroom.click-settings %} 1. Under "Connect to a learning management system (LMS)", click **Connection Settings**.  1. Under "Delete Connection to your learning management system", click **Disconnect from your learning management system**.  145 .../education/manage-coursework-with-github-classroom/create-a-group-assignment.md @@ -0,0 +1,145 @@ --- title: Create a group assignment intro: 'You can create a collaborative assignment for teams of students who participate in your course.' versions: free-pro-team: '*' redirect_from: - /education/manage-coursework-with-github-classroom/create-group-assignments --- ### About group assignments {% data reusables.classroom.assignments-group-definition %} Students can work together on a group assignment in a shared repository, like a team of professional developers. When a student accepts a group assignment, the student can create a new team or join an existing team. {% data variables.product.prodname_classroom %} saves the teams for an assignment as a set. You can name the set of teams for a specific assignment when you create the assignment, and you can reuse that set of teams for a later assignment. {% data reusables.classroom.classroom-creates-group-repositories %} {% data reusables.classroom.about-assignments %} You can decide how many teams one assignment can have, and how many members each team can have. Each team that a student creates for an assignment is a team within your organization on {% data variables.product.product_name %}. The visibility of the team is secret. Teams that you create on {% data variables.product.product_name %} will not appear in {% data variables.product.prodname_classroom %}. For more information, see "[About teams](/github/setting-up-and-managing-organizations-and-teams/about-teams)." For a video demonstration of the creation of a group assignment, see "[Basics of setting up {% data variables.product.prodname_classroom %}](/education/manage-coursework-with-github-classroom/basics-of-setting-up-github-classroom)." ### Prerequisites {% data reusables.classroom.assignments-classroom-prerequisite %} ### Creating an assignment {% data reusables.classroom.assignments-guide-create-the-assignment %} ### Setting up the basics for an assignment Name your assignment, decide whether to assign a deadline, define teams, and choose the visibility of assignment repositories. - [Naming an assignment](#naming-an-assignment) - [Assigning a deadline for an assignment](#assigning-a-deadline-for-an-assignment) - [Choosing an assignment type](#choosing-an-assignment-type) - [Defining teams for an assignment](#defining-teams-for-an-assignment) - [Choosing a visibility for assignment repositories](#choosing-a-visibility-for-assignment-repositories) #### Naming an assignment For a group assignment, {% data variables.product.prodname_classroom %} names repositories by the repository prefix and the name of the team. By default, the repository prefix is the assignment title. For example, if you name an assignment "assignment-1" and the team's name on {% data variables.product.product_name %} is "student-team", the name of the assignment repository for members of the team will be `assignment-1-student-team`. {% data reusables.classroom.assignments-type-a-title %} #### Assigning a deadline for an assignment {% data reusables.classroom.assignments-guide-assign-a-deadline %} #### Choosing an assignment type Under "Individual or group assignment", select the drop-down menu, then click **Group assignment**. You can't change the assignment type after you create the assignment. If you'd rather create a individual assignment, see "[Create an individual assignment](/education/manage-coursework-with-github-classroom/create-an-individual-assignment)." #### Defining teams for an assignment If you've already created a group assignment for the classroom, you can reuse a set of teams for the new assignment. To create a new set with the teams that your students create for the assignment, type the name for the set. Optionally, type the maximum number of team members and total teams. {% tip %} **Tips**: - We recommend including details about the set of teams in the name for the set. For example, if you want to use the set of teams for one assignment, name the set after the assignment. If you want to reuse the set throughout a semester or course, name the set after the semester or course. - If you'd like to assign students to a specific team, give your students a name for the team and provide a list of members. {% endtip %}  #### Choosing a visibility for assignment repositories {% data reusables.classroom.assignments-guide-choose-visibility %} {% data reusables.classroom.assignments-guide-click-continue-after-basics %} ### Adding starter code and configuring a development environment {% data reusables.classroom.assignments-guide-intro-for-environment %} - [Choosing a template repository](#choosing-a-template-repository) - [Choosing an online integrated development environment (IDE)](#choosing-an-online-integrated-development-environment-ide) #### Choosing a template repository By default, a new assignment will create an empty repository for each team that a student creates. {% data reusables.classroom.you-can-choose-a-template-repository %} For more information about template repositories, see "[Creating a template repository](/github/creating-cloning-and-archiving-repositories/creating-a-template-repository)." {% data reusables.classroom.assignments-guide-choose-template-repository %} #### Choosing an online integrated development environment (IDE) {% data reusables.classroom.about-online-ides %} For more information, see "[Integrate {% data variables.product.prodname_classroom %} with an IDE](/education/manage-coursework-with-github-classroom/integrate-github-classroom-with-an-ide)." {% data reusables.classroom.assignments-guide-choose-an-online-ide %} {% data reusables.classroom.assignments-guide-click-continue-after-starter-code-and-feedback %} ### Providing feedback Optionally, you can automatically grade assignments and create a space for discussing each submission with the team. - [Testing assignments automatically](#testing-assignments-automatically) - [Preventing changes to important files](#preventing-changes-to-important-files) - [Creating a pull request for feedback](#creating-a-pull-request-for-feedback) #### Testing assignments automatically {% data reusables.classroom.assignments-guide-using-autograding %} #### Preventing changes to important files {% data reusables.classroom.assignments-guide-prevent-changes %} #### Creating a pull request for feedback {% data reusables.classroom.you-can-create-a-pull-request-for-feedback %} {% data reusables.classroom.assignments-guide-create-review-pull-request %} {% data reusables.classroom.assignments-guide-click-create-assignment-button %} ### Inviting students to an assignment {% data reusables.classroom.assignments-guide-invite-students-to-assignment %} You can see the teams that are working on or have submitted an assignment in the **Teams** tab for the assignment. {% data reusables.classroom.assignments-to-prevent-submission %} <div class="procedural-image-wrapper"> <img alt="Group assignment" class="procedural-image-wrapper" src="/assets/images/help/classroom/assignment-group-hero.png"> </div> ### Next steps - After you create the assignment and your students form teams, team members can start work on the assignment using Git and {% data variables.product.product_name %}'s features. Students can clone the repository, push commits, manage branches, create and review pull requests, address merge conflicts, and discuss changes with issues. Both you and the team can review the commit history for the repository. For more information, see "[Getting started with {% data variables.product.prodname_dotcom %}](/github/getting-started-with-github)," "[Creating, cloning, and archiving repositories](/github/creating-cloning-and-archiving-repositories)," "[Using Git](/github/using-git)," and "[Collaborating with issues and pull requests](/github/collaborating-with-issues-and-pull-requests)," and the free course on [managing merge conflicts](https://lab.github.com/githubtraining/managing-merge-conflicts) from {% data variables.product.prodname_learning %}. - When a team finishes an assignment, you can review the files in the repository, or you can review the history and visualizations for the repository to better understand how the team collaborated. For more information, see "[Visualizing repository data with graphs](/github/visualizing-repository-data-with-graphs)." - You can provide feedback for an assignment by commenting on individual commits or lines in a pull request. For more information, see "[Commenting on a pull request](/github/collaborating-with-issues-and-pull-requests/commenting-on-a-pull-request)" and "[Opening an issue from code](/github/managing-your-work-on-github/opening-an-issue-from-code)." For more information about creating saved replies to provide feedback for common errors, see "[About saved replies](/github/writing-on-github/about-saved-replies)." ### Further reading - "[Use {% data variables.product.prodname_dotcom %} in your classroom and research](/education/teach-and-learn-with-github-education/use-github-in-your-classroom-and-research)" - "[Connect a learning management system to {% data variables.product.prodname_classroom %}](/education/manage-coursework-with-github-classroom/connect-a-learning-management-system-to-github-classroom)" - [Using Existing Teams in Group Assignments?](https://education.github.community/t/using-existing-teams-in-group-assignments/6999) in the {% data variables.product.prodname_education %} Community 19 ...sework-with-github-classroom/create-an-assignment-from-a-template-repository.md @@ -0,0 +1,19 @@ --- title: Create an assignment from a template repository intro: You can create an assignment from a template repository to provide starter code, documentation, and other resources to your students. versions: free-pro-team: '*' redirect_from: - /education/manage-coursework-with-github-classroom/using-template-repos-for-assignments --- You can use a template repository on {% data variables.product.product_name %} as starter code for an assignment on {% data variables.product.prodname_classroom %}. Your template repository can contain boilerplate code, documentation, and other resources for your students. For more information, see "[Creating a template repository](/github/creating-cloning-and-archiving-repositories/creating-a-template-repository)." To use the template repository for your assignment, the template repository must be owned by your organization, or the visibility of the template repository must be public. {% data reusables.classroom.you-may-want-to-predefine-repository-settings %} For more information, see "[Configure default settings for assignment repositories](/education/manage-coursework-with-github-classroom/configure-default-settings-for-assignment-repositories)." ### Further reading - "[Create an individual assignment](/education/manage-coursework-with-github-classroom/create-an-individual-assignment)" - "[Create a group assignment](/education/manage-coursework-with-github-classroom/create-a-group-assignment)" 124 ...tion/manage-coursework-with-github-classroom/create-an-individual-assignment.md @@ -0,0 +1,124 @@ --- title: Create an individual assignment intro: You can create an assignment for students in your course to complete individually. versions: free-pro-team: '*' redirect_from: - /education/manage-coursework-with-github-classroom/creating-an-individual-assignment - /education/manage-coursework-with-github-classroom/create-an-individual-assignment --- ### About individual assignments {% data reusables.classroom.assignments-individual-definition %} {% data reusables.classroom.classroom-creates-individual-repositories %} {% data reusables.classroom.about-assignments %} For a video demonstration of the creation of an individual assignment, see "[Basics of setting up {% data variables.product.prodname_classroom %}](/education/manage-coursework-with-github-classroom/basics-of-setting-up-github-classroom)." ### Prerequisites {% data reusables.classroom.assignments-classroom-prerequisite %} ### Creating an assignment {% data reusables.classroom.assignments-guide-create-the-assignment %} ### Setting up the basics for an assignment Name your assignment, decide whether to assign a deadline, and choose the visibility of assignment repositories. - [Naming an assignment](#naming-an-assignment) - [Assigning a deadline for an assignment](#assigning-a-deadline-for-an-assignment) - [Choosing an assignment type](#choosing-an-assignment-type) - [Choosing a visibility for assignment repositories](#choosing-a-visibility-for-assignment-repositories) #### Naming an assignment For an individual assignment, {% data variables.product.prodname_classroom %} names repositories by the repository prefix and the student's {% data variables.product.product_name %} username. By default, the repository prefix is the assignment title. For example, if you name an assignment "assignment-1" and the student's username on {% data variables.product.product_name %} is @octocat, the name of the assignment repository for @octocat will be `assignment-1-octocat`. {% data reusables.classroom.assignments-type-a-title %} #### Assigning a deadline for an assignment {% data reusables.classroom.assignments-guide-assign-a-deadline %} #### Choosing an assignment type Under "Individual or group assignment", select the drop-down menu, and click **Individual assignment**. You can't change the assignment type after you create the assignment. If you'd rather create a group assignment, see "[Create a group assignment](/education/manage-coursework-with-github-classroom/create-a-group-assignment)." #### Choosing a visibility for assignment repositories {% data reusables.classroom.assignments-guide-choose-visibility %} {% data reusables.classroom.assignments-guide-click-continue-after-basics %} ### Adding starter code and configuring a development environment {% data reusables.classroom.assignments-guide-intro-for-environment %} - [Choosing a template repository](#choosing-a-template-repository) - [Choosing an online integrated development environment (IDE)](#choosing-an-online-integrated-development-environment-ide) #### Choosing a template repository By default, a new assignment will create an empty repository for each student on the roster for the classroom. {% data reusables.classroom.you-can-choose-a-template-repository %} For more information about template repositories, see "[Creating a template repository](/github/creating-cloning-and-archiving-repositories/creating-a-template-repository)." {% data reusables.classroom.assignments-guide-choose-template-repository %} {% data reusables.classroom.assignments-guide-click-continue-after-starter-code-and-feedback %} #### Choosing an online integrated development environment (IDE) {% data reusables.classroom.about-online-ides %} For more information, see "[Integrate {% data variables.product.prodname_classroom %} with an IDE](/education/manage-coursework-with-github-classroom/integrate-github-classroom-with-an-ide)." {% data reusables.classroom.assignments-guide-choose-an-online-ide %} ### Providing feedback for an assignment Optionally, you can automatically grade assignments and create a space for discussing each submission with the student. - [Testing assignments automatically](#testing-assignments-automatically) - [Preventing changes to important files](#preventing-changes-to-important-files) - [Creating a pull request for feedback](#creating-a-pull-request-for-feedback) #### Testing assignments automatically {% data reusables.classroom.assignments-guide-using-autograding %} #### Preventing changes to important files {% data reusables.classroom.assignments-guide-prevent-changes %} #### Creating a pull request for feedback {% data reusables.classroom.you-can-create-a-pull-request-for-feedback %} {% data reusables.classroom.assignments-guide-create-review-pull-request %} {% data reusables.classroom.assignments-guide-click-create-assignment-button %} ### Inviting students to an assignment {% data reusables.classroom.assignments-guide-invite-students-to-assignment %} You can see whether a student has joined the classroom and accepted or submitted an assignment in the **All students** tab for the assignment. {% data reusables.classroom.assignments-to-prevent-submission %} <div class="procedural-image-wrapper"> <img alt="Individual assignment" class="procedural-image-wrapper" src="/assets/images/help/classroom/assignment-individual-hero.png"> </div> ### Next steps - Once you create the assignment, students can start work on the assignment using Git and {% data variables.product.product_name %}'s features. Students can clone the repository, push commits, manage branches, create and review pull requests, address merge conflicts, and discuss changes with issues. Both you and student can review the commit history for the repository. For more information, see "[Getting started with {% data variables.product.prodname_dotcom %}](/github/getting-started-with-github)," "[Creating, cloning, and archiving repositories](/github/creating-cloning-and-archiving-repositories)," "[Using Git](/github/using-git)," and "[Collaborating with issues and pull requests](/github/collaborating-with-issues-and-pull-requests)." - When a student finishes an assignment, you can review the files in the repository, or you can review the history and visualizations for the repository to better understand the student's work. For more information, see "[Visualizing repository data with graphs](/github/visualizing-repository-data-with-graphs)." - You can provide feedback for an assignment by commenting on individual commits or lines in a pull request. For more information, see "[Commenting on a pull request](/github/collaborating-with-issues-and-pull-requests/commenting-on-a-pull-request)" and "[Opening an issue from code](/github/managing-your-work-on-github/opening-an-issue-from-code)." For more information about creating saved replies to provide feedback for common errors, see "[About saved replies](/github/writing-on-github/about-saved-replies)." ### Further reading - "[Use {% data variables.product.prodname_dotcom %} in your classroom and research](/education/teach-and-learn-with-github-education/use-github-in-your-classroom-and-research)" - "[Connect a learning management system to {% data variables.product.prodname_classroom %}](/education/manage-coursework-with-github-classroom/connect-a-learning-management-system-to-github-classroom)" 9 ...on/manage-coursework-with-github-classroom/get-started-with-github-classroom.md @@ -0,0 +1,9 @@ --- title: Get started with GitHub Classroom shortTitle: Get started intro: Learn how to configure and use {% data variables.product.prodname_classroom %} to administer your course. mapTopic: true versions: free-pro-team: '*' --- 52 content/education/manage-coursework-with-github-classroom/glossary.md @@ -0,0 +1,52 @@ --- title: Glossary intro: You can review explanations of terminology for {% data variables.product.prodname_classroom %}. versions: free-pro-team: '*' --- ### assignment An assignment is coursework in {% data variables.product.prodname_classroom %}. A teacher can assign an assignment to an individual student or a group of students. Teachers can import starter code for the assignment, assign students, and create a deadline for each assignment. For more information, see the definitions for "[individual assignment](#individual-assignment)" and "[group assignment](#group-assignment)." --- ### classroom A classroom is the basic unit of {% data variables.product.prodname_classroom %}. Teachers can use a classroom to organize and manage students, teaching assistants, and assignments for a single course. A classroom belongs to an organization on {% data variables.product.prodname_dotcom_the_website %}. To administer a classroom, you must be an organization owner for the organization on {% data variables.product.prodname_dotcom %}. For more information, see "[Manage classrooms](/education/manage-coursework-with-github-classroom/manage-classrooms)." --- ### {% data variables.product.prodname_classroom %} {% data variables.product.prodname_classroom %} is a web application for educators that provides course administration tools integrated with {% data variables.product.prodname_dotcom %}. For more information, see the [{% data variables.product.prodname_classroom %}](https://classroom.github.com/) website. --- ### group assignment {% data reusables.classroom.assignments-group-definition %} For more information, see "[Create a group assignment](/education/manage-coursework-with-github-classroom/create-a-group-assignment)." --- ### identifier An identifier in {% data variables.product.prodname_classroom %} is a unique ID for a student participating in a course. For example, an identifier can be a student name, alphanumeric ID, or email address. --- ### individual assignment {% data reusables.classroom.assignments-individual-definition %} For more information, see "[Create an individual assignment](/education/manage-coursework-with-github-classroom/create-an-individual-assignment)." --- ### roster A roster allows a teacher to manage students and assignment submissions in a classroom on {% data variables.product.prodname_classroom %}. Teachers can create a roster by entering a list of student identifiers, or by connecting {% data variables.product.prodname_classroom %} to a learning management system (LMS). For more information about identifiers, see the definition of "[identifier](#identifier)." For more information about connecting {% data variables.product.prodname_classroom %} to an LMS, see "[Connect a learning management system to {% data variables.product.prodname_classroom %}](/education/manage-coursework-with-github-classroom/connect-a-learning-management-system-to-github-classroom)." --- ### Further reading - "[{% data variables.product.prodname_dotcom %} glossary](/github/getting-started-with-github/github-glossary)" 32 content/education/manage-coursework-with-github-classroom/index.md @@ -0,0 +1,32 @@ --- title: Manage coursework with GitHub Classroom shortTitle: '{% data variables.product.prodname_classroom %}' intro: With {% data variables.product.prodname_classroom %}, you can use {% data variables.product.product_name %} to administer or participate in a course about software development. versions: free-pro-team: '*' --- ### Table of Contents {% topic_link_in_list /get-started-with-github-classroom %} {% link_in_list /basics-of-setting-up-github-classroom %} {% link_in_list /glossary %} {% topic_link_in_list /teach-with-github-classroom %} {% link_in_list /manage-classrooms %} {% link_in_list /create-an-individual-assignment %} {% link_in_list /create-a-group-assignment %} {% link_in_list /create-an-assignment-from-a-template-repository %} {% link_in_list /leave-feedback-with-pull-requests %} {% link_in_list /use-autograding %} {% link_in_list /configure-default-settings-for-assignment-repositories %} {% link_in_list /connect-a-learning-management-system-to-github-classroom %} {% topic_link_in_list /integrate-github-classroom-with-an-ide %} {% link_in_list /integrate-github-classroom-with-an-online-ide %} {% link_in_list /about-using-makecode-arcade-with-github-classroom %} {% link_in_list /about-using-replit-with-github-classroom %} {% link_in_list /run-student-code-in-an-online-ide %} {% topic_link_in_list /learn-with-github-classroom %} {% link_in_list /view-autograding-results %} 8 ...nage-coursework-with-github-classroom/integrate-github-classroom-with-an-ide.md @@ -0,0 +1,8 @@ --- title: Integrate GitHub Classroom with an IDE shortTitle: Integrate with an IDE intro: You can help your students write, test, and debug code by preconfiguring a development environment for assignment repositories on {% data variables.product.prodname_classroom %}. mapTopic: true versions: free-pro-team: '*' --- 42 ...ursework-with-github-classroom/integrate-github-classroom-with-an-online-ide.md @@ -0,0 +1,42 @@ --- title: Integrate GitHub Classroom with an online IDE shortTitle: Integrate with an online IDE intro: You can preconfigure a supported online integrated development environment (IDE) for assignments you create in {% data variables.product.prodname_classroom %}. versions: free-pro-team: '*' redirect_from: - /education/manage-coursework-with-github-classroom/online-ide-integrations --- ### About integration with an online IDE {% data reusables.classroom.about-online-ides %} After a student accepts an assignment with an online IDE, the README file in the student's assignment repository will contain a button to open the assignment in the IDE. The student can begin working immediately, and no additional configuration is necessary.  ### Supported online IDEs {% data variables.product.prodname_classroom %} supports the following online IDEs. You can learn more about the student experience for each IDE. | IDE | More information | | :- | :- | | Microsoft MakeCode Arcade | "[About using MakeCode Arcade with {% data variables.product.prodname_classroom %}](/education/manage-coursework-with-github-classroom/about-using-makecode-arcade-with-github-classroom)" | | Repl.it | "[About using Repl.it with GitHub Classroom](/education/manage-coursework-with-github-classroom/about-using-replit-with-github-classroom)" | ### Configuring an online IDE for an assignment You can choose the online IDE you'd like to use for an assignment when you create an assignment. To learn how to create a new assignment that uses an online IDE, see "[Create an individual assignment](/education/manage-coursework-with-github-classroom/create-an-individual-assignment)" or "[Create a group assignment](/education/manage-coursework-with-github-classroom/create-a-group-assignment)." ### Authorizing the OAuth app for an online IDE The first time you configure an assignment with an online IDE, you must authorize the OAuth app for the online IDE for your organization.  For all repositories, grant the app **read** access to metadata, administration, and code, and **write** access to administration and code. For more information, see "[Authorizing OAuth Apps](/github/authenticating-to-github/authorizing-oauth-apps)." ### Further reading - "[About READMEs](/github/creating-cloning-and-archiving-repositories/about-readmes)" 7 ...ducation/manage-coursework-with-github-classroom/learn-with-github-classroom.md @@ -0,0 +1,7 @@ --- title: Learn with GitHub Classroom intro: You can participate in coursework in {% data variables.product.prodname_classroom %} and see results from your teacher. mapTopic: true versions: free-pro-team: '*' --- 33 ...on/manage-coursework-with-github-classroom/leave-feedback-with-pull-requests.md @@ -0,0 +1,33 @@ --- title: Leave feedback with pull requests intro: You can leave feedback for your students in a special pull request within the repository for each assignment. permissions: People with read permissions to a repository can leave feedback in a pull request for the repository. versions: free-pro-team: '*' redirect_from: - /education/manage-coursework-with-github-classroom/leaving-feedback-in-github --- ### About feedback pull requests for assignments {% data reusables.classroom.you-can-create-a-pull-request-for-feedback %} When you enable the pull request for feedback for an assignment, {% data variables.product.prodname_classroom %} will create a special pull request titled **Feedback** in the assignment repository for each student or team. The pull request automatically shows every commit that a student pushed to the assignment repository's default branch. ### Prerequisites To create and access the feedback pull request, you must enable the feedback pull request when you create the assignment. {% data reusables.classroom.for-more-information-about-assignment-creation %} ### Leaving feedback in a pull request for an assignment {% data reusables.classroom.sign-into-github-classroom %} 1. In the list of classrooms, click the classroom with the assignment you want to review.  {% data reusables.classroom.click-assignment-in-list %} 1. To the right of the submission, click **Review**.  1. Review the pull request. For more information, see "[Commenting on a pull request](/github/collaborating-with-issues-and-pull-requests/commenting-on-a-pull-request)." ### Further reading - "[Integrate {% data variables.product.prodname_classroom %} with an IDE](http://localhost:4000/en/free-pro-team@latest/education/manage-coursework-with-github-classroom/integrate-github-classroom-with-an-ide)" 121 content/education/manage-coursework-with-github-classroom/manage-classrooms.md @@ -0,0 +1,121 @@ --- title: Manage classrooms intro: You can create and manage a classroom for each course that you teach using {% data variables.product.prodname_classroom %}. permissions: Organization owners can manage a classroom for an organization. versions: free-pro-team: '*' redirect_from: - /education/manage-coursework-with-github-classroom/archive-a-classroom --- ### About classrooms {% data reusables.classroom.about-classrooms %}  ### About management of classrooms {% data variables.product.prodname_classroom %} uses organization accounts on {% data variables.product.product_name %} to manage permissions, administration, and security for each classroom that you create. Each organization can have multiple classrooms. After you create a classroom, {% data variables.product.prodname_classroom %} will prompt you to invite teaching assistants (TAs) and admins to the classroom. Each classroom can have one or more admins. Admins can be teachers, TAs, or any other course administrator who you'd like to have control over your classrooms on {% data variables.product.prodname_classroom %}. Invite TAs and admins to your classroom by inviting the user accounts on {% data variables.product.product_name %} to your organization as organization owners and sharing the URL for your classrom. Organization owners can administer any classroom for the organization. For more information, see "[Permission levels for an organization](/github/setting-up-and-managing-organizations-and-teams/permission-levels-for-an-organization)" and "[Inviting users to join your organization](/github/setting-up-and-managing-organizations-and-teams/inviting-users-to-join-your-organization)." When you're done using a classroom, you can archive the classroom and refer to the classroom, roster, and assignments later, or you can delete the classroom if you no longer need the classroom. ### About classroom rosters Each classroom has a roster. A roster is a list of identifiers for the students who participate in your course. When you first share the URL for an assignment with a student, the student must sign into {% data variables.product.product_name %} with a user account to link the user account to an identifier for the classroom. After the student links a user account, you can see the associated user account in the roster. You can also see when the student accepts or submits an assignment.  ### Prerequisites You must have an organization account on {% data variables.product.product_name %} to manage classrooms on {% data variables.product.prodname_classroom %}. For more information, see "[Types of {% data variables.product.company_short %} accounts](/github/getting-started-with-github/types-of-github-accounts#organization-accounts)" and "[Creating a new organization from scratch](/github/setting-up-and-managing-organizations-and-teams/creating-a-new-organization-from-scratch)." You must authorize the OAuth app for {% data variables.product.prodname_classroom %} for your organization to manage classrooms for your organization account. For more information, see "[Authorizing OAuth Apps](/github/authenticating-to-github/authorizing-oauth-apps)." ### Creating a classroom {% data reusables.classroom.sign-into-github-classroom %} 1. Click **New classroom**.  {% data reusables.classroom.guide-create-new-classroom %} After you create a classroom, you can begin creating assignments for students. For more information, see "[Create an individual assignment](/education/manage-coursework-with-github-classroom/create-an-individual-assignment)" or "[Create a group assignment](/education/manage-coursework-with-github-classroom/create-a-group-assignment)." ### Creating a roster for your classroom You can create a roster of the students who participate in your course. If your course already has a roster, you can update the students on the roster or delete the roster. For more information, see "[Adding a student to the roster for your classroom](#adding-students-to-the-roster-for-your-classroom)" or "[Deleting a roster for a classroom](#deleting-a-roster-for-a-classroom)." {% data reusables.classroom.sign-into-github-classroom %} {% data reusables.classroom.click-classroom-in-list %} {% data reusables.classroom.click-students %} 1. To connect {% data variables.product.prodname_classroom %} to your LMS and import a roster, click {% octicon "mortar-board" aria-label="The mortar board icon" %} **Import from a learning management system** and follow the instructions. For more information, see "[Connect a learning management system to {% data variables.product.prodname_classroom %}](/education/manage-coursework-with-github-classroom/connect-a-learning-management-system-to-github-classroom)."  1. To create a roster manually, type your student identifiers. Optionally, click **Upload a CSV or text file** to upload a file containing the identifiers.  1. Click **Create roster**.  ### Adding students to the roster for your classroom Your classroom must have an existing roster to add students to the roster. For more information about creating a roster, see "[Creating a roster for your classrom](#creating-a-roster-for-your-classroom)." {% data reusables.classroom.sign-into-github-classroom %} {% data reusables.classroom.click-classroom-in-list %} {% data reusables.classroom.click-students %} 1. To the right of "Classroom roster", click **Update students**.  1. Follow the instructions to add students to the roster. - To import students from an LMS, click **Sync from a learning management system**. For more information about importing a roster from an LMS, see "[Connect a learning management system to {% data variables.product.prodname_classroom %}](/education/manage-coursework-with-github-classroom/connect-a-learning-management-system-to-github-classroom)." - To manually add students, under "Manually add students", click **Upload a CSV or text file** or type the identifiers for the students, then click **Add roster entries**.  ### Renaming a classroom {% data reusables.classroom.sign-into-github-classroom %} {% data reusables.classroom.click-classroom-in-list %} {% data reusables.classroom.click-settings %} 1. Under "Classroom name", type a new name for the classroom.  1. Click **Rename classroom**.  ### Archiving or unarchiving a classroom You can archive a classroom that you no longer use on {% data variables.product.prodname_classroom %}. When you archive a classroom, you can't create new assignments or edit existing assignments for the classroom. Students can't accept invitations to assignments in archived classrooms. {% data reusables.classroom.sign-into-github-classroom %} 1. To the right of a classroom's name, select the {% octicon "kebab-horizontal" aria-label="The horizontal kebab icon" %} drop-down menu, then click **Archive**.  1. To unarchive a classroom, to the right of a classroom's name, select the {% octicon "kebab-horizontal" aria-label="The horizontal kebab icon" %} drop-down menu, then click **Unarchive**.  ### Deleting a roster for a classroom {% data reusables.classroom.sign-into-github-classroom %} {% data reusables.classroom.click-classroom-in-list %} {% data reusables.classroom.click-students %} 1. Under "Delete this roster", click **Delete roster**.  1. Read the warnings, then click **Delete roster**.  ### Deleting a classroom {% data reusables.classroom.sign-into-github-classroom %} {% data reusables.classroom.click-classroom-in-list %} {% data reusables.classroom.click-settings %} 1. To the right of "Delete this classroom", click **Delete classroom**.  1. **Read the warnings**. 1. To verify that you're deleting the correct classroom, type the name of the classroom you want to delete.  1. Click **Delete classroom**.  22 ...on/manage-coursework-with-github-classroom/run-student-code-in-an-online-ide.md @@ -0,0 +1,22 @@ --- title: Run student code in an online IDE intro: You can run the code from a student assignment within the online integrated development environment (IDE) that you configured for the assignment. versions: free-pro-team: '*' redirect_from: - /education/manage-coursework-with-github-classroom/running-student-code --- ### About student code and online IDEs If you configure an online integrated development environment (IDE) for an assignment, you can run the code within the online IDE. You don't need to clone the assignment repository to your computer. For more information about online IDEs, see "[Integrate {% data variables.product.prodname_classroom %} with an online IDE](/education/manage-coursework-with-github-classroom/integrate-github-classroom-with-an-online-ide)." ### Running student code in the online IDE {% data reusables.classroom.sign-into-github-classroom %} {% data reusables.classroom.click-classroom-in-list %} {% data reusables.classroom.click-assignment-in-list %} 1. To the right of the submission, click **View IDE**.  8 ...ducation/manage-coursework-with-github-classroom/teach-with-github-classroom.md @@ -0,0 +1,8 @@ --- title: Teach with GitHub Classroom intro: Learn how to set up your classroom and assignments. mapTopic: true versions: free-pro-team: '*' --- 93 content/education/manage-coursework-with-github-classroom/use-autograding.md 30 ...t/education/manage-coursework-with-github-classroom/view-autograding-results.md 90 content/education/quickstart.md 1 ...github-education/about-campus-advisors.md → ...github-education/about-campus-advisors.md 1 ...-github-education/about-campus-experts.md → ...-github-education/about-campus-experts.md 1 ...ducation-for-educators-and-researchers.md → ...ducation-for-educators-and-researchers.md 5 ...on/about-github-education-for-students.md → ...on/about-github-education-for-students.md 9 ...ithub-education/about-github-education.md → ...ithub-education/about-github-education.md 5 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tests/rendering/breadcrumbs.js 4 tests/rendering/rest.js 3 tests/rendering/server.js 47 tests/routing/developer-site-redirects.js 10 tests/routing/redirects.js 15 tests/unit/data-directory/filename-to-key.js 1 tests/unit/data-directory/fixtures/README.md 1 tests/unit/data-directory/fixtures/bar.yaml 1 tests/unit/data-directory/fixtures/foo.json 1 tests/unit/data-directory/fixtures/nested/baz.md 40 tests/unit/data-directory/index.js 19 tests/unit/early-access.js 4 tests/unit/find-page.js 57 tests/unit/liquid-helpers.js 140 tests/unit/page.js 2 tests/unit/pages.js 0 comments on commit 1a56ed1 Leave a comment You’re not receiving notifications from this thread. © 2021 GitHub, Inc. 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An ANN is a model based on a collection of connected units or nodes called "artificial neurons", which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit information, a "signal", from one artificial neuron to another. An artificial neuron that receives a signal can process it and then signal additional artificial neurons connected to it. In common ANN implementations, the signal at a connection between artificial neurons is a real number, and the output of each artificial neuron is computed by some non-linear function of the sum of its inputs. The connections between artificial neurons are called "edges". Artificial neurons and edges typically have a weight that adjusts as learning proceeds. The weight increases or decreases the strength of the signal at a connection. Artificial neurons may have a threshold such that the signal is only sent if the aggregate signal crosses that threshold. Typically, artificial neurons are aggregated into layers. Different layers may perform different kinds of transformations on their inputs. Signals travel from the first layer (the input layer) to the last layer (the output layer), possibly after traversing the layers multiple times. The original goal of the ANN approach was to solve problems in the same way that a human brain would. However, over time, attention moved to performing specific tasks, leading to deviations from biology. Artificial neural networks have been used on a variety of tasks, including computer vision, speech recognition, machine translation, social network filtering, playing board and video games and medical diagnosis. Deep learning consists of multiple hidden layers in an artificial neural network. This approach tries to model the way the human brain processes light and sound into vision and hearing. Some successful applications of deep learning are computer vision and speech recognition.[68] Decision trees Main article: Decision tree learning Decision tree learning uses a decision tree as a predictive model to go from observations about an item (represented in the branches) to conclusions about the item's target value (represented in the leaves). It is one of the predictive modeling approaches used in statistics, data mining, and machine learning. Tree models where the target variable can take a discrete set of values are called classification trees; in these tree structures, leaves represent class labels and branches represent conjunctions of features that lead to those class labels. Decision trees where the target variable can take continuous values (typically real numbers) are called regression trees. In decision analysis, a decision tree can be used to visually and explicitly represent decisions and decision making. In data mining, a decision tree describes data, but the resulting classification tree can be an input for decision making. Support vector machines Main article: Support vector machines Support vector machines (SVMs), also known as support vector networks, are a set of related supervised learning methods used for classification and regression. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that predicts whether a new example falls into one category or the other.[69] An SVM training algorithm is a non-probabilistic, binary, linear classifier, although methods such as Platt scaling exist to use SVM in a probabilistic classification setting. In addition to performing linear classification, SVMs can efficiently perform a non-linear classification using what is called the kernel trick, implicitly mapping their inputs into high-dimensional feature spaces. Illustration of linear regression on a data set. Regression analysis Main article: Regression analysis Regression analysis encompasses a large variety of statistical methods to estimate the relationship between input variables and their associated features. Its most common form is linear regression, where a single line is drawn to best fit the given data according to a mathematical criterion such as ordinary least squares. The latter is often extended by regularization (mathematics) methods to mitigate overfitting and bias, as in ridge regression. When dealing with non-linear problems, go-to models include polynomial regression (for example, used for trendline fitting in Microsoft Excel[70]), logistic regression (often used in statistical classification) or even kernel regression, which introduces non-linearity by taking advantage of the kernel trick to implicitly map input variables to higher-dimensional space. Bayesian networks Main article: Bayesian network A simple Bayesian network. Rain influences whether the sprinkler is activated, and both rain and the sprinkler influence whether the grass is wet. A Bayesian network, belief network, or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional independence with a directed acyclic graph (DAG). For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute the probabilities of the presence of various diseases. Efficient algorithms exist that perform inference and learning. Bayesian networks that model sequences of variables, like speech signals or protein sequences, are called dynamic Bayesian networks. Generalizations of Bayesian networks that can represent and solve decision problems under uncertainty are called influence diagrams. Genetic algorithms Main article: Genetic algorithm A genetic algorithm (GA) is a search algorithm and heuristic technique that mimics the process of natural selection, using methods such as mutation and crossover to generate new genotypes in the hope of finding good solutions to a given problem. In machine learning, genetic algorithms were used in the 1980s and 1990s.[71][72] Conversely, machine learning techniques have been used to improve the performance of genetic and evolutionary algorithms.[73] Training models Usually, machine learning models require a lot of data in order for them to perform well. Usually, when training a machine learning model, one needs to collect a large, representative sample of data from a training set. Data from the training set can be as varied as a corpus of text, a collection of images, and data collected from individual users of a service. Overfitting is something to watch out for when training a machine learning model. Federated learning Main article: Federated learning Federated learning is an adapted form of distributed artificial intelligence to training machine learning models that decentralizes the training process, allowing for users' privacy to be maintained by not needing to send their data to a centralized server. This also increases efficiency by decentralizing the training process to many devices. For example, Gboard uses federated machine learning to train search query prediction models on users' mobile phones without having to send individual searches back to Google.[74] Applications There are many applications for machine learning, including: Agriculture Anatomy Adaptive websites Affective computing Banking Bioinformatics Brain–machine interfaces Cheminformatics Citizen science Computer networks Computer vision Credit-card fraud detection Data quality DNA sequence classification Economics Financial market analysis[75] General game playing Handwriting recognition Information retrieval Insurance Internet fraud detection Linguistics Machine learning control Machine perception Machine translation Marketing Medical diagnosis Natural language processing Natural language understanding Online advertising Optimization Recommender systems Robot locomotion Search engines Sentiment analysis Sequence mining Software engineering Speech recognition Structural health monitoring Syntactic pattern recognition Telecommunication Theorem proving Time series forecasting User behavior analytics In 2006, the media-services provider Netflix held the first "Netflix Prize" competition to find a program to better predict user preferences and improve the accuracy of its existing Cinematch movie recommendation algorithm by at least 10%. A joint team made up of researchers from AT&T Labs-Research in collaboration with the teams Big Chaos and Pragmatic Theory built an ensemble model to win the Grand Prize in 2009 for $1 million.[76] Shortly after the prize was awarded, Netflix realized that viewers' ratings were not the best indicators of their viewing patterns ("everything is a recommendation") and they changed their recommendation engine accordingly.[77] In 2010 The Wall Street Journal wrote about the firm Rebellion Research and their use of machine learning to predict the financial crisis.[78] In 2012, co-founder of Sun Microsystems, Vinod Khosla, predicted that 80% of medical doctors' jobs would be lost in the next two decades to automated machine learning medical diagnostic software.[79] In 2014, it was reported that a machine learning algorithm had been applied in the field of art history to study fine art paintings and that it may have revealed previously unrecognized influences among artists.[80] In 2019 Springer Nature published the first research book created using machine learning.[81] Limitations Although machine learning has been transformative in some fields, machine-learning programs often fail to deliver expected results.[82][83][84] Reasons for this are numerous: lack of (suitable) data, lack of access to the data, data bias, privacy problems, badly chosen tasks and algorithms, wrong tools and people, lack of resources, and evaluation problems.[85] In 2018, a self-driving car from Uber failed to detect a pedestrian, who was killed after a collision.[86] Attempts to use machine learning in healthcare with the IBM Watson system failed to deliver even after years of time and billions of dollars invested.[87][88] Bias Main article: Algorithmic bias Machine learning approaches in particular can suffer from different data biases. A machine learning system trained on current customers only may not be able to predict the needs of new customer groups that are not represented in the training data. When trained on man-made data, machine learning is likely to pick up the same constitutional and unconscious biases already present in society.[89] Language models learned from data have been shown to contain human-like biases.[90][91] Machine learning systems used for criminal risk assessment have been found to be biased against black people.[92][93] In 2015, Google photos would often tag black people as gorillas,[94] and in 2018 this still was not well resolved, but Google reportedly was still using the workaround to remove all gorillas from the training data, and thus was not able to recognize real gorillas at all.[95] Similar issues with recognizing non-white people have been found in many other systems.[96] In 2016, Microsoft tested a chatbot that learned from Twitter, and it quickly picked up racist and sexist language.[97] Because of such challenges, the effective use of machine learning may take longer to be adopted in other domains.[98] Concern for fairness in machine learning, that is, reducing bias in machine learning and propelling its use for human good is increasingly expressed by artificial intelligence scientists, including Fei-Fei Li, who reminds engineers that "There’s nothing artificial about AI...It’s inspired by people, it’s created by people, and—most importantly—it impacts people. It is a powerful tool we are only just beginning to understand, and that is a profound responsibility.”[99] Model assessments Classification of machine learning models can be validated by accuracy estimation techniques like the holdout method, which splits the data in a training and test set (conventionally 2/3 training set and 1/3 test set designation) and evaluates the performance of the training model on the test set. In comparison, the K-fold-cross-validation method randomly partitions the data into K subsets and then K experiments are performed each respectively considering 1 subset for evaluation and the remaining K-1 subsets for training the model. In addition to the holdout and cross-validation methods, bootstrap, which samples n instances with replacement from the dataset, can be used to assess model accuracy.[100] In addition to overall accuracy, investigators frequently report sensitivity and specificity meaning True Positive Rate (TPR) and True Negative Rate (TNR) respectively. Similarly, investigators sometimes report the false positive rate (FPR) as well as the false negative rate (FNR). However, these rates are ratios that fail to reveal their numerators and denominators. The total operating characteristic (TOC) is an effective method to express a model's diagnostic ability. TOC shows the numerators and denominators of the previously mentioned rates, thus TOC provides more information than the commonly used receiver operating characteristic (ROC) and ROC's associated area under the curve (AUC).[101] Ethics Machine learning poses a host of ethical questions. Systems which are trained on datasets collected with biases may exhibit these biases upon use (algorithmic bias), thus digitizing cultural prejudices.[102] For example, using job hiring data from a firm with racist hiring policies may lead to a machine learning system duplicating the bias by scoring job applicants against similarity to previous successful applicants.[103][104] Responsible collection of data and documentation of algorithmic rules used by a system thus is a critical part of machine learning. Because human languages contain biases, machines trained on language corpora will necessarily also learn these biases.[105][106] Other forms of ethical challenges, not related to personal biases, are more seen in health care. There are concerns among health care professionals that these systems might not be designed in the public's interest but as income-generating machines. This is especially true in the United States where there is a long-standing ethical dilemma of improving health care, but also increasing profits. For example, the algorithms could be designed to provide patients with unnecessary tests or medication in which the algorithm's proprietary owners hold stakes. There is huge potential for machine learning in health care to provide professionals a great tool to diagnose, medicate, and even plan recovery paths for patients, but this will not happen until the personal biases mentioned previously, and these "greed" biases are addressed.[107] Hardware Since the 2010s, advances in both machine learning algorithms and computer hardware have led to more efficient methods for training deep neural networks (a particular narrow subdomain of machine learning) that contain many layers of non-linear hidden units.[108] By 2019, graphic processing units (GPUs), often with AI-specific enhancements, had displaced CPUs as the dominant method of training large-scale commercial cloud AI.[109] OpenAI estimated the hardware compute used in the largest deep learning projects from AlexNet (2012) to AlphaZero (2017), and found a 300,000-fold increase in the amount of compute required, with a doubling-time trendline of 3.4 months.[110][111] Software Software suites containing a variety of machine learning algorithms include the following: Free and open-source so

Points: 100 Topics: Graphs, topological sort, freedom to decide how to represent data and organize code (while still reading in a graph and performing topological sort) PLAGIARISM/COLLUSION: You should not read any code (solution) that directly solves this problem (e.g. implements DFS, topological sorting or other component needed for the homework). The graph representation provided on the Code page (which you are allowed to use in your solution) and the pseudocode and algorithm discussed in class provide all the information needed. If anything is unclear in the provided materials check with us. You can read materials on how to read from a file, or read a Unix file or how to tokenize a line of code, BUT not in a sample code that deals with graphs or this specific problem. E.g. you can read tutorials about these topics, but not a solution to this problem (or a problem very similar to it). You should not share your code with any classmate or read another classmate's code. Part 1: Main program requirements (100 pts) Given a list of courses and their prerequisites, compute the order in which courses must be taken so that when taking a courses, all its prerequisites have already been taken. All the files that the program would read from are in Unix format (they have the Unix EOL). Provided files: ● Grading Criteria ● cycle0.txt ● data0.txt ● data0_rev.txt ● data1.txt - like data0.txt but the order of the prerequisite courses is modified on line 2. ● slides.txt (graph image) - courses given in such a way that they produce the same graph as in the image. (The last digit in the course number is the same as the vertex corresponding to it in the drawn graph. You can also see this in the vertex-to-course name correspondence in the sample run for this file.) ● run.html● data0_easy.txt - If you cannot handle the above file format, this is an easier file format that you can use, but there will be 15 points lost in this case. More details about this situation are given in Part 3. ● Unix.zip - zipped folder with all data files. ● For your reference: EOL_Mac_Unix_Windows.png - EOL symbols for Unix/Mac/Windows Specifications: 1. You can use structs, macros, typedef. 2. All the code must be in C (not C++, or any other language) 3. Global or static variables are NOT allowed. The exception is using macros to define constants for the size limits (e.g. instead of using 30 for the max course name size). E.g. #define MAX_ARRAY_LENGTH 20 4. You can use static memory (on the frame stack) or dynamic memory. (Do not confuse static memory with static variables.) 5. The program must read from the user a filename. The filename (as given by the user) will include the extension, but NOT the path. E.g.: data0.txt 6. You can open and close the file however many times you want. 7. File format: 1. Unix file. It will have the Unix EOL (end-of-line). 2. Size limits: 1. The file name will be at most 30 characters. 2. A course name will be at most 30 characters 3. A line in the file will be at most 1000 characters. 3. The file ends with an empty new line. 4. Each line (except for the last empty line) has one or more course names. 5. Each course name is a single word (without any spaces). E.g. CSE1310 (with no space between CSE and 1310). 6. There is no empty space at the end of the line. 7. There is exactly one empty space between any two consecutive courses on the same line. (You do not need to worry about having tabs or more than one empty space between 2 courses.) The first course name on each line is the course being described and the following courses are the prerequisites for it. E.g. CSE2315 CSE1310 MATH1426 ENGL13018. The first line describes course CSE2315 and it indicates that CSE2315 has 2 prerequisite courses, namely: CSE1310 and MATH1426. The second line describes course ENG1301 and it indicates that ENG1301 has no prerequisites. 9. You can assume that there is exactly one line for every course, even for those that do not have prerequisites (see ENGL1301 above). Therefore you can count the number of lines in the file to get the total number of courses. 10.The courses are not given in any specific order in the file. 8. You must create a directed graph corresponding to the data in the file. 1. The graph will have as many vertices as different courses listed in the file. 2. You can represent the vertices and edges however you want. 3. You do NOT have to use a graph struct. If you can do all the work with just the 2D table (the adjacency matrix) that is fine. You HAVE TO implement the topological sorting covered in class (as this assignment is on Graphs), but you can organize, represent and store the data however you want. 4. For the edges, you can use either the adjacency matrix representation or the adjacency list. If you use the adjacency list, keep the nodes in the list sorted in increasing order. 5. For each course that has prerequisites, there is an edge, from each prerequisite to that course. Thus the direction of the edge indicates the dependency. The actual edge will be between the vertices in the graph corresponding to these courses. E.g. file data0.txt has: c100 c300 c200 c100 c200 c100 Meaning: c100-----> c200 \ | \ | \ | \ | \ | \ | V V c300(The above drawing is provided here to give a picture of how the data in the file should be interpreted and the graph that represents this data. Your program should *NOT* print this drawing. See the sample run for expected program output.) From this data you should create the correspondence: vertex 0 - c100 vertex 1 - c300 vertex 2 - c200 and you can represent the graph using adjacency matrix (the row and column indexes are provided for convenience): | 0 1 2 ----------------- 0| 0 1 1 1| 0 0 0 2| 0 1 0 e.g. E[0][1] is 1 because vertex 0 corresponds to c100 and vertex 1 corresponds to c300 and c300 has c100 as a prerequisite. Notice that E[1][0] is not 1. If you use the adjacency list representation, then you can print the adjacency list. The list must be sorted in increasing order (e.g. see the list for 0). It should show the corresponding node numbers. E.g. for the above example the adjacency list will be: 0: 1, 2, 1: 2: 1, 6. 7. In order for the output to look the same for everyone, use the correspondence given here: vertex 0 for the course on the first line, vertex 1 for the course on the second line, etc. 1. Print the courses in topological sorted order. This should be done using the DFS (Depth First Search) algorithm that we covered in class and the topological sorting based on DFS discussed in class. There is no topological order if there is a cycle in the graph; in this case print an error message. If in DFV-visit when looking at the (u,v) edge, if the color of v is GRAY then there is a cycle in the graph (and therefore topological sorting is not possible). See the Lecture on topological sorting (You can find the date based on the table on the Scans page and then watch the video from that day. I have also updated the pseudocodein the slides to show that. Refresh the slides and check the date on the first page. If it is 11/26/2020, then you have the most recent version.) 8. (6 points) create and submit 1 test file. It must cover a special case. Indicate what special case you are covering (e.g. no course has any prerequisite). At the top of the file indicate what makes it a special case. Save this file as special.txt. It should be in Unix EOL format. Part 2: Suggestions for improvements (not for grade) 1. CSE Advisors also are mindful and point out to students the "longest path through the degree". That is longest chain of course prerequisites (e.g. CSE1310 ---> CSE1320 --> CSE3318 -->...) as this gives a lower bound on the number of semesters needed until graduation. Can you calculate for each course the LONGEST chain ending with it? E.g. in the above example, there are 2 chains ending with c300 (size 2: just c100-->c300, size 3: c100-->c200-->c300) and you want to show longest path 3 for c300. Can you calculate this number for each course? 2. Allow the user the enter a list of courses taken so far (from the user or from file) and print a list of the courses they can take (they have all the prerequisites for). 3. Ask the user to enter a desired number of courses per semester and suggest a schedule (by semester). Part 3: Implementation suggestions 1. Reading from file: (15 points) For each line in the file, the code can extract the first course and the prerequisites for it. If you cannot process each line in the file correctly, you can use a modified input file that shows on each line, the number of courses, but you would lose the 15 points dedicated to line processing. If your program works with the "easy files", in order to make it easy for the TAs to know which file to provide, please name your C program courses_graph_easy.c. Here is the modification shown for a new example. Instead of c100 c300 c200 c100 c200 the file would have: 1 c1003 c300 c200 c100 1 c200 1. that way the first data on each line is a number that tells how many courses (strings) follow after it on that line. Everything is separated by exactly one space. All the other specifications are the same as for the original file (empty line at the end, no space at the end of any line, length of words, etc). Here is data0_easy.txt Make a direct correspondence between vertex numbers and course names. E.g. the **first** course name on the first line corresponds to vertex 0, the **first** course name on the second line corresponds to vertex 1, etc... 2. 3. The vertex numbers are used to refer to vertices. 4. In order to add an edge in the graph you will need to find the vertex number corresponding to a given course name. E.g. find that c300 corresponds to vertex 1 and c200 corresponds to vertex 2. Now you can set E[2][1] to be 1. (With the adjacency list, add node 1 in the adjacency list for 2 keeping the list sorted.) To help with this, write a function that takes as arguments the list/array of [unique] course names and one course name and returns the index of that course in the list. You can use that index as the vertex number. (This is similar to the indexOf method in Java.) 5. To see all the non-printable characters that may be in a file, find an editor that shows them. E.g. in Notepad++ : open the file, go to View -> Show symbol -> Show all characters. YOU SHOULD TRY THIS! In general, not necessarily for this homework, if you make the text editor show the white spaces, you will know if what you see as 4 empty spaces comes from 4 spaces or from one tab or show other hidden characters. This can help when you tokenize. E.g. here I am using Notepad++ to see the EOL for files saved with Unix/Mac/Windows EOL (see the CR/LF/CRLF at the end of each line): EOL_Mac_Unix_Windows.png How to submit Submit courses_graph.c (or courses_graph_easy.c) and special.txt (the special test case you created) in Canvas . (For courses_graph_easy.c you can submit the "easy" files that you created.)Your program should be named courses_graph.c if it reads from the normal/original files. If instead it reads from the 'easy' files, name it courses_graph_easy.c As stated on the course syllabus, programs must be in C, and must run on omega.uta.edu or the VM. IMPORTANT: Pay close attention to all specifications on this page, including file names and submission format. Even in cases where your answers are correct, points will be taken off liberally for non-compliance with the instructions given on this page (such as wrong file names, wrong compression format for the submitted code, and so on). The reason is that non-compliance with the instructions makes the grading process significantly (and unnecessarily) more time consuming. Contact the instructor or TA if you have any questions

To make a effective mobile app, one thing you need to keep in mind is: Determine a problem which may be fixed by your app choose the features of your app The app should provide customer with tangible benefits including reducing costs via productivity enhancements, new earnings or enhancing the customer experience. Step 2: Recognize To create a successful mobile app, you need to identify or be manifest about: Application target users - An iphone app should be developed keeping in mind the target users of an application. Having a clear vision about the targeted group, enhance the success ratio of your app. Specific factors that should be considered while selecting mobile platforms and devices includes coverage, device support, performance and other features. Revenue model - The app market is booming like no time before. To be able to ensure this resource and generate earnings, app developer need to select appropriate approach in accordance with the app. You can find different models of making earnings from mobile applications including paid applications, separate application and in-app freemiums, commercials, subscription and pay for each download. These techniques can be employed to generate earnings. Direct Revenue Models - used to create successful mobile applications The graph describes a detailed account of application income models From this point you should also think about your budget, the amount of money you wish to set aside for the expansion, marketing and eventual release of your app. This a quick guide to the approximate costs for developing an app. Action 3: Design your software designing your app to get success in software development Designing your iphone app is yet another substantial factor in charge of success of an application on the market. An application developer must concentrate on the UI design, multi-touch gestures for touch-enabled devices and consider platform design standards as well. Today, emphasis is on the UI design of an app as it plays an essential role in the success of an app. Step 4: Determine method to develop the iphone app - native, web or cross Selecting the right approach for developing an software is highly important.Preferably, app development method must be in accordance with the time and budget limitations of any client. Native: Native software permits in delivering the best user experience but require important some talent to be developed. These software are basically program specific and require knowledge along with knowledge. Net: Web software are quick and cheap ones to develop and can run using multiple platforms. These are developed using HTML5, WEB PAGE and JavaScript code. These types of web software are less powerful than native programs. Hybrid: Hybrid approach is the new approach to develop any application.This approach combines prebuilt local containers with on-the-fly web coding in order to achieve the best of both worlds. In this method, the developer augments the internet code with native vocabulary to create unique features and access native APIs which can be not yet available through JavaScript. Step 5: Develop a prototype after identifying the approach is developing a prototype. That is actually the taking your idea and making it an application with some basic functionality.An auto dvd unit makes it quite easier to sell your idea to would-be who can now actually see the concrete benefits rather than just imagining or reading product explanation. It is rather helpful in attracting investors and working with manufacturers and finding licensees Step 6: Incorporate a suitable analytics tool use analytics to improve your application in order that it results in successful software development Step seven: Identify beta-testers. Beta testing is the first possibility to get feedback from your target customers. It is particularly significant as it enhances your visibility in the iphone app store. It not only reduce product chance but ensure you get that first push in the software store. To distinguish beta testers is another important job to ensure success of an app. Preparing for beta launch: Define focus on customer - It truly is highly important to identify and clearly define your targeted audience. This will allow you identify the right testers during your beta tester recruiting. Eliminate insects - Before beta screening your iphone app on different platforms you need to take into account vast majority of the devices which eliminate device specific insects. Identify goals - Beta testing is the best possibility to get real feedback from target customers. It provides a great chance to further understand marketplace and their requirements. Discovering goals for beta screening helps in focusing the efforts. These goals reduce your product launch chance. Step 8: Release and deploy the software Implementing an app requires plan, schedule and control over the movement of releases to test and live conditions. The objective of Deployment Management is to ensure the integrity of the live environment is protected and that the correct components are released. Step 9: Capture the metrics There has recently been substantial rise in the mobile app users in today's decade. As a result, the need to accumulate accurate metrics is highly important. As the amount of consumers using mobile applications steadily rises, the need to gather precise metrics from them is increasingly important. Unfortunately, many of the methods used to measure programs are taken from web stats. Funnel analysis signifies why users are failing to finish desired user actions including in-app purchases or ad clicks Measuring social discussing signifies what aspects of your application are recording the interest of your users Correlating demographic data with user behaviour Step 10: Upgrade your application with improvements and new features update and upgrade your mobile after you know that you have developed it properly - the last step to successful software development After capturing the metrics it becomes important to upgrade your app with advancements and revolutionary features. A new mobile iphone app without modern features loses its user friendliness extended range run. Upgrading your iphone app with innovative features enhances its visibility along with downloads of an app.

Algorithm Visualizer is a web-based interactive tool that helps users to understand how algorithms work through real-time animations. It includes visualizations for sorting, searching, graph traversal, pathfinding, and recursion-based problems, making it an effective learning resource for developers.

Network Properties in Spark GraphFrames In this project, you will implement various network properties using pySpark and GraphFrames. You may need to look into the documentation for GraphFrames and networkx to complete this project. In addition to implementing these network metrics, you will be required to answer some questions when applying these metrics on real world and synthetic networks. Submission Requirements Please create a zip file containing ONLY the following for this project : 0. Do NOT include the data or any extra files. 1. degree.py 2. centrality.py 3. articulations.py 4. A pdf document containing answers to the questions asked in the project description. [Power law questions for Stanford and the 4 random graphs provided in degree.py, answers for the two questions on centrality, answer for the closeness question). Name this as <your_unity_id>.pdf 5. [OPTIONAL] Script for checking power law (if you have written something). Instructions to run in the pdf document which contains the answers to the questions asked in project description. 6. Output for centrality.py saved in a csv file called centrality_out.csv 7. Output for articulations.py saved in a csv file called articulations_out.csv For articulations problem, you may just run it with networkx approach (5 mins run time) and save the output in the file articulations_out.csv. We will be evaluating the project using a script. So please make sure you follow the instructions, or your assignment might not get graded. Degree Distribution The degree distribution is a measure of the frequency of nodes that have a certain degree. Implement a function degreedist, which takes a GraphFrame object as input and computes the degree distribution of the graph. The function should return a DataFrame with two columns: degree and count. For the graphs provided to you, test and report which graphs are scalefree, namely whose degree distribution follows a power law, at least asymptotically. That is, the fraction P(k) of nodes in the network having k connections to other nodes goes for large values of k as P(k) ~ k−γ where γ is a parameter whose value is typically in the range 2 < γ < 3, although occasionally it may lie outside these bounds. Answer the following questions: 1. Generate a few random graphs. You can do this using networkx’s random graph generators. Do the random graphs you tested appear to be scale free? (Include degree distribution with your answer). 2. Do the Stanford graphs provided to you appear to be scale free? Note that GraphFrames represents all graphs as directed, so every edge in the undirected graphs provided or generated must be added twice, once for each direction. When finding if the degrees follow a power law you can then use either the indegree or outdegree, as they should be equal. Centrality Centrality measures are a way to determine nodes that are important based on the structure of the graph. Closeness centrality measures the distance of a node to all other nodes. We will define the closeness centrality as CC(v) =1/ ∑ d(u,v) u∈V where d(u, v) is the shortestpath distance between u and v. Implement the function closeness, which takes a GraphFrame object as input and computes the closeness centrality of every node in the graph. The function should return a DataFrame with two columns: id and closeness. Consider a small network of 10 computers, illustrated below, with nodes representing computers and edges representing direct connections of two machines. If two computers are not connected directly, then the information must flow through other connected machines. Answer the following questions about the graph: 1. Rank the nodes from highest to lowest closeness centrality. 2. Suppose we had some centralized data that would sit on one machine but would be shared with all computers on the network. Which two machines would be the best candidates to hold this data based on other machines having few hops to access this data? Articulation Points Articulation points, or cut vertices, are vertices in the graph that, when removed, create more components than there were originally. For example, in the simple chain 1-2-3, there is a single component. However, if vertex 2 were removed, there would be 2 components. Thus, vertex 2 is an articulation point. Implement the function articulations, which takes a GraphFrame object as input and finds all the articulation points of a graph. The function should return a DataFrame with two columns, id and articulation, where articulation is a 1 if the node is an articulation point, otherwise a 0. Suppose we had the terrorist communication network given in the file 9_11_edgelist.txt . If our goal was to disrupt the flow of communication between different groups, isolating the articulation points would be a good way to do this. Answer the following questions: 1. In this example, which members should have been targeted to best disrupt communication in the organization?

Using Graph Neural Networks (GNNs) for combinatorial optimization (CO) offers specific advantages for problems where traditional methods struggle due to complexity, data dependency, or the need for real-time solutions.

It is very difficult to think of an aspect of life that has not been affected by the Internet. It does more than just connecting computers. It connects people, lives, stories, and businesses. Wireless networks are present in all the large buildings or sites, and they are anticipated to provide high-speed Internet for the connected users. This can be attained by connecting wireless routers to the Internet backbone through fast connection cables (e.g. fiber optics), or as well finding the optimal position of the router along with the location, so that the targeted area is covered with Internet access as much as possible, provided that the cost constraints of routers and the cost of their mutual interconnection are satisfied. As the placement of WI-FI routers in the network is a very intensive problem concerning connectivity and coverage. It directly affects the transmission loss, installation cost, operational complexity, wi-fi network coverage, etc. However, optimizing the location of the routers can resolve these issues and increase network performance. Therefore, using major deep-learning models this problem can be resolved. The proposed model concentrates on the optimization of the objective function in terms of the empty spaces in the location, hindrances such as concrete walls, metallic objects, etc. in the area, client coverage in the location, and the network connectivity. It is an initial step to ensure the desired network performance such as throughput, connectivity, and coverage of the network. The model also additionally bifurcates the areas into divisions based on the network coverage in each region for particular chores like messaging, streaming, gaming, etc. Furthermore, an advanced Wi-Fi analyzing system for generating different results based on the observations of the Wi-Fi router and the network it is placed in is implemented. It gives an analysis report of the Wi-Fi router. It dictates the number of users presently connected to the system with their description like IP Address, Physical Address, etc and also determines the information regarding the devices in the network range of the router. It executes signal strength testing that demonstrates the strength of the signal in the network and also performs a speed testing module that determines the upload speed and the download speed of the system using real-time graph plotting. The computational experiment, performed over a dataset of sample house maps, to indicate the optimal position of the Wi-Fi proposes that the approach can obtain great results. Consequently, the results indicate that the approach can be easily adapted for application in practice for determining the network areas based on the signal strengths in the region, in terms of the Wi-Fi router placement and analyze the wireless network, devices in the network, and the connected users. The application can be extended to provide co-ordinates for a 3D map. The model can also be paired with some hardware to increase portability.

India GDP Analysis Problem Description - I NITI Aayog: Background NITI Aayog (National Institution for Transforming India) is a policy think tank of the Government of India; it provides strategic inputs to the central and the state governments to achieve various development goals. In the past, NITI Aayog has played an important role in initiatives such as Digital India, Atal Innovation Mission and various agricultural reforms and have designed various policies in education, skill development, water management, healthcare, etc. NITI Aayog was established to replace the Planning Commission of India, which used to follow a top-down model for policy making, i.e., it typically designed policies at the central level (such as the 5-year plans). On the other hand, NITI Aayog designs policies specific to the different states or segments of the economy. Finance Minister, Arun Jaitley, made the following observation on the necessity of creating NITI Aayog, "The 65-year-old Planning Commission had become a redundant organisation. It was relevant in a command economy structure, but not any longer. India is a diversified country and its states are in various phases of economic development along with their own strengths and weaknesses. In this context, a ‘one size fits all’ approach to economic planning is obsolete...". Project Brief We are working as the chief data scientist at NITI Aayog, reporting to the CEO. The CEO has initiated a project wherein the NITI Aayog will provide top-level recommendations to the Chief Ministers (CMs) of various states, which will help them prioritise areas of development for their respective states. Since different states are in different phases of development, the recommendations should be specific to the states. The overall goal of this project is to help the CMs focus on areas that will foster economic development for their respective states. Since the most common measure of economic development is the GDP, we will analyse the GDP of the various states of India and suggest ways to improve it. Understanding GDP Gross domestic product (GDP) at current prices is the GDP at the market value of goods and services produced in a country during a year. In other words, GDP measures the 'monetary value of final goods and services produced by a country/state in a given period of time'. GDP can be broadly divided into goods and services produced by three sectors: the primary sector (agriculture), the secondary sector (industry), and the tertiary sector (services). It is also known as nominal GDP. More technically, (real) GDP takes into account the price change that may have occurred due to inflation. This means that the real GDP is nominal GDP adjusted for inflation. We will use the nominal GDP for this exercise. Also, we will consider the financial year 2015-16 as the base year, as most of the data required for this exercise is available for the aforementioned period. Per Capita GDP and Income Total GDP divided by the population gives the per capita GDP, which roughly measures the average value of goods and services produced per person. The per capita income is closely related to the per capita GDP (though they are not the same). In general, the per capita income increases when the per capita GDP increases, and vice-versa. For instance, in the financial year 2015-16, the per capita income of India was ₹93,293, whereas the per capita GDP of India was $1717, which roughly amounts to ₹1,11,605. Problem Description - II Data The data is sourced from https://data.gov.in/, an Open Government Data (OGD) platform of India. The download instructions are provided in the next segment. The data for GDP analysis of the Indian states is divided into two parts: Data I-A: This dataset consists of the GSDP (Gross State Domestic Product) data for the states and union territories. Data I-B: This dataset contains the distribution of GSDP among three sectors: the primary sector (agriculture), the secondary sector (industry) and the tertiary sector (services) along with taxes and subsidies. There is separate dataset for each of the states. We are expected to read the dataset for the available states and join these (in Python) if needed. There are two parts to this project. In the first part, we will analyse and compare the GDPs of various Indian states (both total and per capita). The GDP of a state is referred to as the GSDP (Gross State Domestic Product). Then, we will divide the states into four categories based on the GDP per capita, and for each of these four categories, we will analyse the sectors that contribute the most to the GDP (such as agriculture, real estate, manufacturing, etc.). In the second part, we will analyse whether GDP per capita is related to dropout rates in schools and colleges. Part-I: GDP Analysis of the Indian States For each of the following steps of analysis, choose an appropriate type of plot for comparing the data. Also, ensure that the plots are in increasing or decreasing order for better comparison. For example, if we make a bar plot to compare the GDPs of the states, ensure that the bars are in either increasing or decreasing order of GDP. Part I-A: For the analysis below, use the Data I-A. First, we need to load the data in Python properly and then clean it. This also involves the treatment of missing values, we can choose to drop the row or column as well. Remember this will affect our next analysis and results drastically. Plot a graph for rows " % Growth over previous year" for all the states (not union territories) whose data is available, use as much data as possible for this exercise. Use the best fit line to represent the growth for each state. Draw a similar line graph for the nation as well. How will we compare the growth rates of any two states? Which states have been growing consistently fast, and which ones have been struggling? Rank top 3 fastest and 3 slowest-growing states. What is the Nation's growth rate? What has been the growth rate of my home state, and how does it compare to the national growth rate? Plot the total GDP of the states for the year 2015-16: Which Plot will we use for this? Why? (Remeber to plot the graph in a way such as it is easier to read and compare) Identify the top 5 and the bottom 5 states based on total GDP. What insights can we draw from this graph? What states are performing poorly? (Remember: this will not be solely based on total GDP) Part I-B: For the analysis below, use Data I-B. We can also use Data I-B along with Data I-A if required. Also, perform the analysis only for the duration 2014-15. Filter out the union territories (Delhi, Chandigarh, Andaman and Nicobar Islands, etc.) for further analysis, as they are governed directly by the central, not state governments. Plot the GDP per capita for all the states. Identify the top 5 and the bottom 5 states based on the GDP per capita. Find the ratio of the highest per capita GDP to the lowest per capita GDP. Plot the percentage contribution of the primary, secondary and tertiary sectors as a percentage of the total GDP for all the states. Which plot will we use here? Why? Why is (Primary + Secondary + Tertiary) not equal to total GDP? Can we draw any insight from this? Find correlation of percentile of the state (% of states with lower per capita GDP) and %contribution of Primary sector to total GDP. Categorise the states into four groups based on the GDP per capita (C1, C2, C3, C4, where C1 would have the highest per capita GDP and C4, the lowest). The quantile values are (0.20,0.5, 0.85, 1), i.e., the states lying between the 85th and the 100th percentile are in C1; those between the 50th and the 85th percentiles are in C2, and so on. Note: Categorisation into four groups will simplify the subsequent analysis, as otherwise, comparing the data of all the states would become quite exhaustive. For each category (C1, C2, C3, C4): Find the top 3/4/5 sub-sectors (such as agriculture, forestry and fishing, crops, manufacturing etc., not primary, secondary and tertiary) that contribute to approximately 80% of the GSDP of each category. Note-I: The nomenclature for this project is as follows: primary, secondary and tertiary are named 'sectors', while agriculture, manufacturing etc. are named 'sub-sectors'. Note-II: If the top 3 sub-sectors contribute to, say, 79% of the GDP of some category, we can report "These top 3 sub-sectors contribute to approximately 80% of the GDP". This is to simplify the analysis and make the results consumable. (Remember, the CEO has to present the report to the CMs, and CMs have limited time; so, the analysis needs to be sharp and concise.) Plot the contribution of the sub-sectors as a percentage of the GSDP of each category. Now that we have summarised the data in the form of plots, tables, etc., try to draw non-obvious insights from it. Think about questions such as: How does the GDP distribution of the top states (C1) differ from the others? Which sub-sectors seem to be correlated with high GDP? Which sub-sectors do the various categories need to focus on? Ask other such relevant questions, which we think are important, and note we insights for category separately. More insights are welcome and will be awarded accordingly. Finally, provide at least two recommendations for each category to improve the per capita GDP. Part-II: GDP and Education Dropout Rates In Part-I, we would have noticed that (one) way to increase per capita GDP is by shifting the distribution of GDP towards the secondary and tertiary sectors, i.e., the manufacturing and services industries. But these industries can thrive only when there is an availability of educated and skilled labour. In this part of the analysis, we will investigate whether there is any relationship between per capita GDP with dropout rates in education. Data Data II: This section will require the dropout rate dataset apart from the dataset that we used in Part-1 of the case study. Download instructions are provided in the next segment. Part-II: GDP and Education Analyse if there is any correlation of GDP per capita with dropout rates in education (primary, upper primary and secondary) for the year 2014-2015 for each state. Choose an appropriate plot to conduct this analysis. Is there any correlation between dropout rate and %contribution of each sector (Primary, Secondary and Tertiary) to the total GDP? We have the total population of each state from the data in part I. Is there any correlation between dropout rates and population? What is the expected trend and what is the observation? Write down the key insights we draw from this data: Form at least one reasonable hypothesis for the observations from the data About GDP analysis for India in the year for 2015-16 and recommendation for the individual states for increasing the GDP by focusing on various factor. Topics python statistical-analysis data-analysis gdp-analysis Resources Readme Stars 0 stars Watchers 1 watching Forks 0 forks Releases No releases published Packages No packages published Languages Jupyter Notebook 100.0% Footer © 2022 GitHub, Inc. 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This repository contains methodology and code for the problem statement : Select a touch pin on ESP32, display the real-time touch value as a continuous graph on OLED screen (autoscale). At the same time send it using bluetooth to computer or phone and display the graph on PC or phone in real-time. You can use any opensource platform.

An all-in-one web application designed to be the ultimate tool for teaching and learning. Docerium integrates a powerful suite of tools including an interactive whiteboard, a dynamic graphing calculator, and a real-time markdown notebook, making it easier than ever to visualize concepts, solve problems, and take notes.

Stutern logo white Pricing Internships Account Back Application History Thumb img 20161102 071853 Back View Profile Edit Profile Settings Sign Out Time Left 10 hours and 29 minutes Reward: N50,000 Start Date: Oct 24, 2016 12:00 PM End Date: Nov 06, 2016 11:59 PM Registrants: 33 Submissions: 0 Resources: Geek Train Tracking App: Android Internship Contest by Connect Rails Submit CHALLENGE Build a native Android Train Tracking App. You may use publicly available APIs to do this such as Firebase, Google Maps, Parse , UBER. To get started, check out the 'Resources' section. TECHNOLOGY Native Android App (Android Studio and SDK is preferred,) REWARD 3 - 6 months paid internship with a probable full-time opportunity. BACKGROUND This challenge is sponsored by ConnectRail Services. ConnectRail is a Nigerian rail haulage, infrastructure and logistics support firm with an established working relationship with the Nigerian Railway Corporation, to provide rail freight/haulage and logistic support services to businesses in Nigeria seeking to move goods by rail. We are on a mission to improve rail freight competitiveness by reducing turnaround time and operating cost. In September 2016, It was all over African news media as it was historic that ConnectRail transported 500 cows from Gusau, Zamfara State of Nigeria over a 1,000 km to Lagos State in a record of 36 hours. Which was hours ahead of the usual schedule. In the light of this, we want an intern to develop a mobile tracking app to monitor our haulage system. We are eager to see what you can invent. We will award exciting prizes to the best submission. We anticipate solutions that will surprise, delight, and engage with African users in a productive and yet simple way. The winner will receive a cash award of N50,000, a 3 to 6 month paid internship at Connect Rail, an opportunity for full-time employment and other perks. REWARD N50,000 Cash Award Opportunity to join Connect Rail full time. 24x7 Dedicated Internet and Power. Professional & Career Mentorship RESOURCES See below links to documentation on publicly available APIs that you may use in building the app: Firebase Google Maps Uber Parse We may introduce additional resources to mix things up a bit during the challenge period, so make sure to follow us on Twitter: @stutern APP REQUIRMENTS Through the simple mobile application: Monitoring officers should be able to record the loading, unloading, trip-up and trip-down timelines for haulages. The data provided by all monitoring officer should be fed into a cloud based data bank. The system should be able to generate notifications after each process have being concluded. The admin and client should have a GPS based real time location on Google Maps of the trip. The database can be queried/structured to generate reports and graphs. The system should have a GPS based real time location tracking ability on Google Map for the trips. The system should have the ability to tap into APIs of enterprise systems e.g. SAP We want the UX to be very simple and user-friendly. The fewest number of steps needed to do an action. SUBMISSION INSTRUCTION Click the registration button at the top of this page. Once registered, you will be redirected back to this page with a submit button. Click the submit button at the top of the page. Submit URL of App Submit URL of your App’s Github repository JUDGING CRITERIA All entries will be judged using the following criteria: Features and functionality Code structure and organization User experience and design Good command of APIs Problem solving methodology Android platform only 100% original work of the developer Clarity in report generation ELIGIBILITY CRITERIA Walk through the Challenge Rules to confirm you meet all eligibility requirements. Register for this competition and follow twitter accounts: @stutern Submit a valid entry before deadline Confirm immediate availability for an “Andriod Developer Intern” role at Connect Rail Services Have no criminal record or pending lawsuit WINNER SELECTION Winners are selected by the client and are chosen solely at the client's discretion. Judges are teams from Connect Rails, Stutern and Andela. About Stutern © 2016. All Rights Reserved. Privacy Policy | Terms of Use

Creating and implementation of cluster, visualization data using different types of graphs in 2D and 3D and problem-solving skills on real time problems using ML, NumPy, pandas, Matplotlib.

CalcAI is an interactive math canvas that enables real-time equation solving, graph plotting, and AI-powered problem-solving using the Gemini API. It features a web-based, intuitive interface built with React and Tailwind CSS.

An all-in-one web application designed to be the ultimate tool for teaching and learning. TME integrates a powerful suite of tools including an interactive whiteboard, a dynamic graphing calculator, and a real-time markdown notebook, making it easier than ever to visualize concepts, solve problems, and take notes.

Developed during the Cisco AICTE Virtual Internship Program 2025, NETTRACE is a network automation and visualization project built using Python, concurrent programming, and graph-based problem solving. It focuses on simulating and tracing real-time network flows with an automated, practical approach to networking concepts.

About SafeRouteX exists to address the problem that during disasters, the shortest route is often unsafe. It computes evacuation paths that account for real-time risk factors such as heavy rainfall and nearby seismic activity, rather than distance alone. By modeling regions as a graph with dynamically penalized risks, it helps planners, researchers

This 42 school project is about designing and implementing an algorithm to solve a special case of a maximum flow problem in graph theory. The goal is to find the optimal flow of ants through an anthill that minimizes the number of rounds needed to traverse the anthill. An anthill is described as a network composed of 'rooms' (graph nodes) and 'tunnels' (edges) linking the rooms together, with all ants starting and finishing at two precise rooms. The real trouble begins when each room can welcome only one ant at a time (except for the start and end rooms). A round ends when no more ants are able to start or move any further in the anthill.

Interactive graph theory visualizer with NP problem solvers, physics layout, and diagnostic tools. Build, analyze, and experiment with graphs in real time.

Interactive physics simulations — click, drag, play. Fun, visual, and educational: explore forces, fields, and motion with real-time graphs & auto-generated problems.

Travelling Salesman Problem solver with Dynamic Programming and Genetic Algorithm. Includes empirical testing and real-time graph comparisons.

Software that builds and maintains a knowledge graph from structured data in real-time, while detecting and solving the problems of schema mapping and record linkage

An interactive, educational Sudoku solver that models the puzzle as a Graph Coloring problem and solves it using a Constraint Satisfaction Problem (CSP) engine — with real-time algorithm visualization.

An interactive 3D visualization comparing two AI algorithms for solving the classic 8 Queens problem, featuring real-time performance graphs and comprehensive comparative analysis.

The Navigation with Graphs project showcases various graph traversal and pathfinding algorithms using Python, enabling dynamic placement of agents and real-time path modifications. It provides a robust framework for solving navigation problems with visual and interactive components.

A simple LeetCode Stats Tracker that fetches real-time user data and displays progress for Easy, Medium, and Hard problems using beautiful animated circular graphs built with HTML, CSS, and JavaScript.

This website gives basic information about problems related water crisis, some real time graphs related to water availability and at last with some innovative ideas to reduce drowning of water crisis.