There are many good resources for learning Git. (Here's an excellent online book, and this is my videos series introducing Git and GitHub.) But once you've learned the basics, it can be hard to remember which commands to use to execute the most common tasks. I went searching for a Git reference guide that would be useful for beginners like myself, but didn't find anything ideal: Git - the simple guide is useful as a high-level overview of the basic commands, but doesn't provide enough details. Git Cheatsheet uses a nice interactive approach to summarize a ton of git commands on one screen, but it doesn't give you any sense of workflow. Git Reference is close to what I was looking for, and links each entry to the relevant section of Pro Git (awesome!), but is too long for a quick reference. So, I decided to make my own reference guide! The guide below is organized by task, with an emphasis on basic tasks and common command line arguments. It begins with the workflow for cloning, updating, and syncing with a remote repo because that's a common way to get started with Git and GitHub. Note that this is only a reference guide, and will not teach you Git. It does not explain the difference between staged and committed, what to do with a .gitignore file, or when to create a branch. But if you are already familiar with those concepts, this guide will hopefully refresh your memory and help you to discover other commands you might need. Please enjoy, and let me know your thoughts or questions in the comments! Cloning a remote repo (that you created or forked on GitHub) git clone < your-repo-URL >: copies your remote repo to your local machine (in a subdirectory with the repo's name), and automatically creates an "origin" handle git remote add upstream < forked-repo-URL >: adds an "upstream" handle for the repo you forked git remote -v: shows the handles for your remotes git remote show < handlename >: inspect a remote in detail Tracking, committing, and pushing your changes git add < name >: if untracked, start tracking a file or directory; if tracked and modified, stage it for committing git reset HEAD < name >: unstage a changed file git commit -m "message": commits everything that has been staged with a message -a -m "message": automatically stages any modified files, then commits --amend -m "new message": fixes the message from the last commit git push origin master: pushes your commits to the master branch of the origin Syncing your local repo with the upstream repo git fetch upstream: fetch the upstream and store its master branch in "upstream/master" git merge upstream/master: merge that branch into the working branch Viewing the status of your files git status: check which files have been modified and/or staged since the last commit git diff: shows the diff for files that are modified but not staged --staged: shows the diff for files that are staged but not committed Viewing the commit history git log: shows the detailed commit history -1: only shows the last 1 commit -p: shows the line diff for each commit -p --word-diff: shows the word diff for each commit --stat: shows stats instead of diff details --name-status: shows a simpler version of stat --oneline: just shows commit comments gitk: open a visual commit browser Managing branches git branch: shows a list of local branches < branchname >: create a new branch with that name -d < branchname >: delete a branch -v: show the last commit on each local branch -a: show local and remote branches -va: show the last commit on each local and remote branch --merged: list which branches are already merged into the working branch (safe to delete) --no-merged: list which branches are not merged into the working branch git checkout < branchname >: switch the HEAD pointer to a different branch -b < branchname >: create a new branch and switch to it Removing, deleting, and reverting files git rm < name >: deletes that file from the disk, then stages its deletion --cached < name >: stops tracking a file, then stages its deletion (but does not delete it from the disk) git mv < oldname > < newname >: renames the file on disk, then stages the deletion of the old name and addition of the new name git checkout -- < name >: revert a modified file on disk back to the last committed version Other basic commands git init: initialize Git in an existing directory git config --list: shows your Git configuration touch .gitignore: create an empty .gitignore file

A "cheatsheet" for the Udacity course: How to Use Git and GitHub

A combined cheatsheet of the most-used Linux, Docker, and Git/GitHub commands — perfect for quick reference and daily development work.

Interview Coding Challenge Data Science Step 1 of the Data Scientist Interview process. Follow the instructions below to complete this portion of the interview. Please note, although we do not set a time limit for this challenge, we recommend completing it as soon as possible as we evaluate candidates on a first come, first serve basis... If you have any questions, please feel free to email support@TheZig.io. We will do our best to clarify any issues you come across. Prerequisites: A Text Editor - We recommend Visual Studio Code for the ClientSide code, its lightweight, powerful and Free! (https://code.visualstudio.com/) SQL Server Management Studio (https://docs.microsoft.com/en-us/sql/ssms/download-sql-server-management-studio-ssms?view=sql-server-2017) R - Software Environment for statitistal computing and graphics. You can download R at the mirrors listed here (https://cran.r-project.org/mirrors.html) Azure - Microsoft's Cloud Computing platform. You can create an account without a credit card by using the Azure Pass available at this link (https://azure.microsoft.com/en-us/offers/azure-pass/) Git - For source control and committing your final solution to a new private repo (https://git-scm.com/downloads) a. If you're not very familiar with git commands, here's a helpful cheatsheet (https://services.github.com/on-demand/downloads/github-git-cheat-sheet.pdf) 'R' Challenge For each numbered section below, write R code and comments to solve the problem or to show your rationale. For sections that ask you to give outputs, provide outputs in separate files and name them with the section number and the word output "Section 1 - Output". Create a private repo and submit your modified R script along with any supporting files. Load in the dataset from the accompanying file "account-defaults.csv" This dataset contains information about loan accounts that either went delinquent or stayed current on payments within the loan's first year. FirstYearDelinquency is the outcome variable, all others are predictors. The objective of modeling with this dataset is to be able to predict the probability that new accounts will become delinquent; it is primarily valuable to understand lower-risk accounts versus higher-risk accounts (and not just to predict 'yes' or 'no' for new accounts). FirstYearDelinquency - indicates whether the loan went delinquent within the first year of the loan's life (values of 1) AgeOldestIdentityRecord - number of months since the first record was reported by a national credit source AgeOldestAccount - number of months since the oldest account was opened AgeNewestAutoAccount - number of months since the most recent auto loan or lease account was opened TotalInquiries - total number of credit inquiries on record AvgAgeAutoAccounts - average number of months since auto loan or lease accounts were opened TotalAutoAccountsNeverDelinquent - total number of auto loan or lease accounts that were never delinquent WorstDelinquency - worst status of days-delinquent on an account in the first 12 months of an account's life; values of '400' indicate '400 or greater' HasInquiryTelecomm - indicates whether one or more telecommunications credit inquires are on record within the last 12 months (values of 1) Perform an exploratory data analysis on the accounts data In your analysis include summary statistics and visualizations of the distributions and relationships. Build one or more predictive model(s) on the accounts data using regression techniques Identify the strongest predictor variables and provide interpretations. Identify and explain issues with the model(s) such as collinearity, etc. Calculate predictions and show model performance on out-of-sample data. Summarize out-of-sample data in tiers from highest-risk to lowest-risk. Split up the dataset by the WorstDelinquency variable. For each subset, run a simple regression of FirstYearDelinquency ~ TotalInquiries. Extract the predictor's coefficient and p-value from each model. Store the in a list where the names of the list correspond to the values of WorstDelinquency. Load in the dataset from the accompanying file "vehicle-depreciation.csv". The dataset contains information about vehicles that our company purchases at auction, sells to customers, repossess from defaulted accounts, and finally re-sell at auction to recover some of our losses. Perform an analysis and/or build a predictive model that provides a method to estimate the depreciation of vehicle worth (from auction purchase to auction sale). Use whatever techniques you want to provide insight into the dataset and walk us through your results - this is your chance to show off your analytical and storytelling skills! CustomerGrade - the credit risk grade of the customer AuctionPurchaseDate - the date that the vehicle was purchased at auction AuctionPurchaseAmount - the dollar amount spent purchasing the vehicle at auction AuctionSaleDate - the date that the vehicle was sold at auction AuctionSaleAmount - the dollar amount received for selling the vehicle at auction VehicleType - the high-level class of the vehicle Year - the year of the vehicle Make - the make of the vehicle Model - the model of the vehicle Trim - the trim of the vehicle BodyType - the body style of the vehicle AuctionPurchaseOdometer - the odometer value of the vehicle at the time of purchase at the auction AutomaticTransmission - indicates (with value of 1) whether the vehicle has an automatic transmission DriveType - the drivetrain type of the vehicle

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Git and GitHub CheatSheet

Git and Github cheatsheet

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Created Git and Github Cheatsheet

A git and github cheatsheet