Just enough git (written in Python) to create a repo and push to GitHub

Self-compiling compiler of a Python subset. Just enough Python to Python in Python.

Software to conveniently control & fully automate large Marklin CS2/CS3 digital layouts using your computer / keyboard. Designed for users with many trains and accessories where two knobs just aren't enough. Includes an extensive GUI and Java / Python APIs, with full DCC support.

We are team technophiles and participated in 48hrs hackathon organized by Nirma University in collabration with Binghamton University. Our Problem Definition : To develop a solution, the first step is to understand the problem. The problem here is to develop an Application Programming Interface which can be easily integrated with Android and IOS to detect the skin disease without any physical interaction with a Dermatologist. The detected skin disease should be sent through whatsapp to a particular patient and doctor. Our college name: Pandit Deendayal Energy University Team Members: Rushabh Thakkar, Divy Patel, Denish Kalariya, Yug Thakkar, and Shubham Vyas. Project Details: We made an application which classifies the skin diseases into these given types healthy, lupus, ringworm and scalp_infections How did we make? The data given was analysed first. We came to conclusion that the data given was not enough so we searched for new datasets. We got these datasets: https://ieee-dataport.org/documents/image-dataset-various-skin-conditions-and-rashes https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DBW86T We segregated the datasets of harvard. Combined all the datasets and trained the tensorflow image classification model multiple times. Accuracy was not satisfying. Augmented the data to unbaised the model and the dataset would be balanced. Data Augmentation was done on the data given . We generated 800 images per disease. Again we had trained the model. Accuracy was good. Exported the .tflite and label.txt file. We imported the files into android studio We have used three python codes: data_removal.py This code is used to remove data randomly from the folder if there are more number of images than required. We just need to change total_files_req variable in the code to number of files required after deletion. data_augmentation.py This code is used to augment the data randomly from the folder if there are less number of images than required. We just need to change total_files_req variable in the code to number of files required after augmentation. We change various parameters of images like clearity, rotation, brightness, etc. image_classification_code.py This is the main code in which we have trained the model and exported it to run on the app Models we tried: efficientnet-lite0(USED in our project) efficientnet-lite1 efficientnet-lite2 efficientnet-lite3 efficientnet-lite4 API: TensorFlowLite Used Android studio for App development . Used Language = java We sync all the grade files. Changed the model files and update it with the new model Working model file name is model.tflite Tflite classifier working java files are CameraActivity.java CamerConnectionFragment.java ClasssifierActivity.java LegacyCameraConnectionFreagment.java Dataset: Uploaded on Github WORKING MODEL LINK: https://drive.google.com/file/d/1BnqfFInFkJJDkYDlmdj9VB601f7PjTdj/view?usp=sharing

Just Enough Python for Data Science course materials.

Just enough Python for Data Science, Machine Learning, Deep Learning and AI

# Discord-DM-Multi-Tools (The Best So Far) Mass DM Tools. Easy To Use. Account generator known as ExoCord. User ID Joiner. Leaver. DM spam. Chat spam. Friend request spam. Server Destroyer And Much Other Options. I paid 750$ in all tools together. I got scammed by tools creators many times and they gave me only DM mass tools but I have collected all the best tools together and I have found other token generators and I have already bought them. The problem is that the phone verification does not work properly and gets disabled in a few days but it works properly and lasts for a week and it's good and enough for me. (It got patched because of Discord's frequent updates) I don't want to leak all of their tools and throw all their work in water in seconds, but I will leak it for cheaper and resell it for <s>750$</s>. dc: Sliiiide#4947 INSTRUCTIONS: Extract files from .rar by using WinRAR or some other program. put them in one folder. Enjoy your tools. (Don't spam too much otherwise discord will detect it and disable your tokens) if you get any errors, just look at them see whats missing and install it using python you also need to download node js. IF YOU WILL NEED HELP OR CAN'T DO SOMETHING PROPERLY, DM ME ON DISCORD: Sliiiide#4947

‘Generative House Algorithm’ was constructed for one simple reason, being one click away from creating a range of uniquely designed model houses. At the beginning of 2020, the start of the covid-19 pandemic, I started learning programming. My background is in developing 3D motion graphics, but my work goes into different directions. I feel inspired by trying out new things, but often feel constrained by the software I use. I never found the right software that could satisfy my every need. A few years back, I visited a motion graphics event in Prague. Here I saw a presentation by Simon Homedal from Man vs. Machine and he introduced me to procedural programming for digital art. And so my journey into learning to code started. Being stuck at home because of covid-19, I was presented with a change to really jump in and start developing a few coding projects. I started out with a simple board game in Java, where I was introduced to ‘object oriented programming’ and UI development and many other general concepts. At the end of this project I came to the conclusion that simple programming is not enough, I needed to combine with something I already have experience of. So I started using Python inside Maya, focusing on asset development of simple programs I could execute whenever I’m working on a 3D project. At the time I was wondering if I could deconstruct houses to an algorithm. The inspiration for this project came from wandering around the residential areas where I lived. Zandberg has very diverse styles of architecture; Terrace houses with high ceilings, classical villas with roofs made of straw and modern villas built after WWII. I was captivated by the diversity in design. Breakdown A simple UI inside Maya, where the uses can specify the value for generating a number of houses. Simple things like level and roof height, number of doors, max number of levels, etc. Lastly a button that would take in the value and run the algorithm. The back-end consists of a number of Python modules, textures and .obj files. One Python file called the “Main”, is where the files are assembled and executed. Process Developing a generative algorithm is a process of trial and error. At the start of the project I treated the project like any other modeling project, only every design decision was programmed in with a number of possible solutions. Over time this would become very complex and unstructured. It became impossible to go back and modify what I already wrote down. Another problem was that the algorithm was creating the model for running the code. This meant that selecting, adding and subtracting mesh to the model cost a lot of processing power, to the point my computer would freeze up. I needed to rethink my process and develop a framework which is easy to modify and light on the processor. My new plan of attack was to do as little as possible in Maya. All design instructions needed to be solved before anything can be created in Maya. Going into this direction was a hard choice. First off, it’s not a guarantee for success. The moment I would go too deep, things can get messy very easily. Besides I consider myself more of a visual thinker. Working outside of Maya meant every hurdle would be some sort of math problem. I already knew I had no choice, and understood this is the type of problem solving a programmer has to deal with. So I started out doing a little bit of RnD. My first test was to create a number of lists. Generally every list would hold some type of value. Like positional data, labels, dimensions, objects etc. and the rest would be a range of functions iterating, generating, gathering, and sorting data into these lists. These seemed flexible enough, if I needed to add new details to the model, I would make a new list and apply this into the framework. This type of framework was not very structured as I hoped. Luckily I discarded this ideal before it really began. I was already attracted by the idea of using a matrix instead of lists at the top of lists. The matrix would provide data in three dimensions, like a volume or a box made out of separate units. I would add an extra dimension to each unit, which is a list of six values. Each value would represent each side of a unit. The general ideal of a matrix is like a fluid simulation, which is made out of a matrix of voxels, or like Minecraft where each unit can be some type of block. This would create a data structure that is easy to modify. The next step would be to feed the matrix with values. A value can represent walls, doors, windows, levels, rooftops, position and direction. It starts with an empty matrix, and secondly fill it with values of 1 (later on inside Maya, value 1 would generate a wall, the location within the matrix would be translated to 3D space). If you’d stop here and translate the matrix to mesh in Maya, you would get a cluster of boxes stacked next or on top of each other. Adding more data to the matrix meant it needed to structure itself, so it would generate a cohesive design. If not the final result would be a house with holes in the wall or floating rooms. Therefore a number of functions are needed for searching for patterns, and modifying the data. A standard function would iterate over each unit in the matrix and check the neighboring values. If some sort of condition is met, the proper value will be modified. Going back to our cluster of boxes example. If a has a neighbouring box in front and to the left, but nothing on top, this would be a condition where a corner roof would be generated. And so different functions would solve design problems. In the end you would be left with a matrix of values that would serve as a blueprint for generating in house inside Maya. Finally the model needs to be made in Maya. A number of parts like a wall, door or window are generated or imported in Maya. When iterating over the finished matrix, a certain value in a certain place in the matrix will decide which objects (example wall or roof) needs to be instanced and placed in the right position and direction. When the matrix is fully realised in Maya the model gets a final cleanup, by merging the model, deleting unused parts and empty groups. What is left is the house model. If a range of houses needs to be generated, the process is simply looped over a number of times. Final word This project took way longer than I had anticipated and is far from finished. I learned a lot and at the same time it feels like I have only just begun. I hope to pick up this project again in the near future. I would love to add more elements to the house, like roof-windows or balconies and create procedural shaders. And possibly try out machine learning or some type of genetic algorithm. If you have any questions or are intrigued please contact me at ljh.hartman@gmail.com. Cheers!

Learn just enough Python to start analyzing and visualizing data.

Python intro at PyOhio 2019

Crusaders is derived from the initials (C-R-S-D-R) of the founding members , namely, Carlo Cruz, Richmar Agum, Sanly Alagos, Diosdado Buslon, and Rhowella Mantile. Together, they take programming into a different realm where each of them slays every code in fulfilling their motive of pursuing time-efficient calculations. They put their heart and soul trying to develop the thing they called “The Genius Pad”. It is said to be the most powerful innovation created by mankind as it solves mathemetical calculations in just a few clicks. Each one of the great minds behind this has his/her role in successfully creating “The Genius Pad”. First, the team leader, Diosdado Buslon, will manage the github repository, write some unit tests, and be the one in charge with integrating the calculator logic with the UI. Also, he is very knowledgeable in merging different git branches together. Carlo Cruz will be in charge of writing the calculator logic. Aside from that, he can also participate in writing the unit tests to assure that the calculator logic is working well. Next, the person in charge with the visuals, Rhowella Mantile. She will be the one assigned in doing the User Interface. With her advanced knowledge in programming, she knows that python has a lot of available packages that can be used in developing UI components. It is also her job to determine what library will best suit this application. She can also write some unit tests to assure UI components are behaving as desired. Lastly, Richmar Agum and Sanly Alagos will be in charged with the documentation and will be in charged in writing the majority of the unit tests. They will also cover the video for the entire journey they will take in creating “The Genius Pad”, the pad’s features, and all the challenges that will come in their way. As crusaders, they are brave enough to take this obstacle to reach another milestone in pursuing time-efficient calculations

If you like this build I’ve also written other posts on building a simple voice controlled Magic Mirror with the Raspberry Pi and the AIY Projects Voice Kit, and a face-tracking cyborg dinosaur called “Do-you-think-he-saurs” with the Raspberry Pi and the AIY Projects Vision Kit. At the tail end of last month, just ahead of the announcement of the pre-order availability of the new Google AIY Project Voice Kit, I finally decided to take the kit I’d managed to pick up with issue 57 of the MagPi out of its box, and put it together. However inspired by the 1986 Google Pi Intercom build put together Martin Mander, ever since I’ve been thinking about venturing beyond the cardboard box and building my own retro-computing enclosure around the Voice Kit. I was initially thinking about using an old radio until I came across the GPO 746 Rotary Telephone. This is a modern day replica of what must be the most iconic rotary dial phone in the United Kingdom. This is the phone that sat on everybody’s desk, and in their front halls, throughout the 1970’s. It was the standard rental phone, right up until British Telecom was privatised in the middle of the 1980's. The GPO 746 Rotary Telephone. While the GPO 746 is available in the United States it’s half the price, and there are a lot more colours to choose from, if you’re buying the phone in the United Kingdom. A definite business opportunity for someone there because it turns out that, on the inside, it’s a rather interesting bit of hardware. Gathering your Tools For this project you’ll need is a small Philips “00” watch maker’s screwdriver, a craft knife, scissors, a set of small wire snips, a drill and a 2 to 4mm bit, a soldering iron, solder, some jumper wires, female header blocks, a couple of LEDs, some electrical tape, a cable tie, and possibly some Sugru and heat shrink tubing, depending how neat you want to be about things. While I did end up soldering a few things during the build, it is was mostly restricted to joining wires together and should definitely be approachable for beginners. Opening the Box Ahead of the new Voice Kit hitting the shelves next month I managed to get my hands on a few pre-production kits, which fortunately meant that I didn’t have to take my cardboard box apart to put together a new build. The new AIY Project Voice Kit. The new AIY Voice Kit comes comes in a box very similar to the original kit distributed with the Mag Pi magazine. The box might be a bit thinner, but otherwise things look much the same. Missing from my pre-production kits the two little plastic spacers that keep the Voice HAT from bending down and hitting the top of the Raspberry Pi. I’m presuming they’ll include them in the production kits, without them the underside of the HAT tends to push downwards and the solder tails of the speaker screw terminal shorts out against the Raspberry Pi’s HDMI connector. I fixed this by adding some electrical tape to separate the two boards, but the spacers would have worked a lot better and added more stability. The only component swap was the arcade button, gone was the separate lamp, holder, microswitch and button—all four components have been replaced by a single button with everything integrated. Since it was somewhat fiddly to get that assembled last time, this is a definite improvement. While my pre-production kits didn’t include it, I’m told the retail version will have a copy of the MagPi Essentials AIY Projects book written by Lucy Hattersley on how to “Create a Voice Kit with your Raspberry Pi.” Other than that, things went together much as before. At which point I quickly put together the Voice Kit, this time however, I didn’t bother with the cardboard box. Opening the Phone Pulling the replica GPO 746 out of its box you’ll find it comes in two parts, the main phone with the dial, and a separate handset which plugs in underneath the base. The first thing I needed to do was take the base unit of the phone apart and figure out how it worked. Until I knew what I had to work with, it was going to be impossible to figure out a sensible plan to integrate the Voice Kit. Opening up the GPO 746. The main PCB is mounted on the base along with a steel weight to give the impression of “heft” to the replica phone. There’s also a large bell, which makes that distinctive ringing noise familiar to anyone that owned or used a GPO 746 back in the 1970's. The circuitry attached to the base of the GPO 746. To the left of the PCB is the jack socket where the telephone line is connected (two wires, red and green). To the top, two switches. One is for handset, and the other for ringer, volume. At the bottom another jack switch (four wires, red, black, yellow, and green) where the handset is attached. The only thing of real interest on the PCB is the Hualon Microelectronics HM9102D which is a switchable tone/pulse dialer chip, which we’re actually not going to use. In fact, since the line voltage in the UK is +50V, pretty much none of it was going to be any use to me. So after measuring the voltage on the cable connecting the dialer to the PCB, I snipped the wires to the switches and the jacks—leaving them in place with as much trailing wire as possible in case they were going to come in useful,—and then removed both the PCB and the bell. After that, I filed down the plastic moulding that held everything in place leaving me with a large flat area which was perfectly sized for the Raspberry Pi and the Voice HAT. The moulded top of the phone has two assemblies, a simple microswitch toggled using a hinged and sprung plastic plate when the phone handset is taken on and off the hook, and the dialer assembly which is connected to the base and the PCB using a ribbon cable. How the Dialer Works It was time to break out the logic analyser. While I’ve got a Saleae Logic Pro 16 on my desk, if you’re thinking about picking one up for the first time I’d really recommend the much cheaper Logic 8, or even the lower specification Logic 4, rather than splashing out on the higher end model. Either will take you a long way before you get the itch that you have to upgrade. Logic Analyser attached to the dial of the GPO 746 powered up using a Bench Power Supply. Stripping the connector from the cable that connected the dialer to the PCB and powering it up with a bench power supply to +5V—which is more-or-less what I’d measured on the cable and was something I could reasonably expect to get from the Raspberry Pi—I connected the rest of the cables to my logic analyser and started turning the dial confidently expecting to see something interesting going on. I found nothing, I had flat lines, there was no signal going down the wires at all. After playing around with the voltage for a few minutes, with no results, I stripped the dialer assembly out of the case for a closer look. Dialer assembly removed from the GPO 746. The back of the dialer assembly has two LEDs, which I thought was rather odd since there dial isn’t illuminated in any way, at least not from the outside. Interestingly these two LEDs flash briefly when the dial is turned all the way around to hit the stop. Cracking the case brings us to something else interesting, it’s a light box. Designed to keep the light from the LEDs inside, it has a hole which rotates around as you dial a number. Taking apart the dial assembly. The hole exposes one of twelve photoresistors to the light from the LEDs and the number (or symbol) you’re dialing determines which of the resistors will be under the hole when the dial stop is reached. The photoresistors inside the dial assembly. It was all passive circuitry. No wonder I hadn’t seen anything on the logic analyser, there wasn’t any logic to analyse. It was all analogue. Unfortunately for me, the Raspberry Pi has no built in analogue inputs. That means I’d have to pull a Microchip MCP3008, or something similar, from the shelf and build some circuitry. I’d also have to figure out how the resistance for twelve photoresistors ended up travelling down just eight wires, which sort of had me puzzled at this point. That all sounded like a lot of effort. Since I really only wanted to dial a single digit to activate the Voice Kit, and I didn’t care what that was, I decided to ignore the photoresistors and concentrate on the dial stop. The dialer mechanism showing the back of the dial stop (left) with microswitch. Unlike the original GPO 746, the dial stop on this replica moves. It drops when you hit it with the side of your finger when dialling a number. It turned out that it was connected to a microswitch, and when the microswitch was activated, this was the thing that briefly flashed the LEDs and exposed the appropriate photoresistor. It was actually all rather clever. A really neat way to minimise the build of materials costs for the phone. Startups thinking about building hardware could learn a lesson or two in economy from this phone. Using the logic analyser on the microswitch. Just to be sure I had this right, I dialled down the bench power supply to a Raspberry Pi friendly +3.3V and wired up the microswitch to the logic analyser. Applying +3.3V (middle trace) and “dialing” shows the microswitch toggling (lower trace). Dialling a number on the dialer assembly worked as expected. We could ignore the dial itself, and those photoresistors that would be a pain to use with the Raspberry Pi and just make use of the microswitch. In fact we could more-or-less just replace the arcade button with this switch. Integrating the AIY Project Kit Moving on, I really wanted to reuse both the speaker and the microphone already in the handset instead of the ones the came with the Voice Kit. Handset stripped of its speaker and micrphone, Taking apart the handset—the end caps holding the speaker and microphone just screw off—showed that there were four wires inside the curled cable. Two for the speaker, and two for the electret condenser microphone. The Voice Kit makes use of two InvenSense ICS-43434 MEMS microphones which use I2S to communicate. They’re a solid replacement for traditional 2-wire analog microphones like the one we in the handset of the GPO 746. The Voice HAT Microphone daughter board. Looking at the Voice HAT microphone daughter board, it has been designed so that you can break the two microphones away from the board at the perforations and then you can solder the wiring harness directly to the pads. So long as you keep the signals consistent you should be able to place the mics pretty much anywhere, and with a clock rate of ~3MHz, a longer cable should be fine. Unfortunately I2S uses more wires than I had available. Unless I wanted to replace the curled cable, and I didn’t really want to have to do that, I was in trouble. Putting that aside for a moment I decided to start with the dialer assembly. Refitting it to the case, I snipped the wires leading to the microswitch and, grabbing the wiring harness for the arcade button, I soldered the microswitch to the relevant wires in the harness. Soldering the Voice HAT button wiring harness to the phone’s microswitch. I then grabbed a ultra-bright LED and a 220Ω resistor from the shelves and soldered the resistor in-line with the LED. I then attached my new LED assembly to the other two wires in the arcade button wiring harness. At this point I had a replacement for the arcade button that came with the Voice Kit. Attaching a current limiting resistor to my LED. Giving up on putting microphones into the handset I pulled out a drill and measuring the spacing between the two microphones I drilled a couple of holes in the external shell of the phone. Drilling two holes in the shell of the phone. These weren’t going to be visible from the outside as there is a void between the top of the phone, where the handset rests. This is a carrying handle where you can tuck your hand in, and pick up the phone. In the old days this let you pick up the phone and wander around the room—well, so long as the cable tying you to the wall was long enough. Attaching the Voice HAT microphone board to the phone shell. I then went ahead and tucked the microphone board behind the spring which operated the hook mechanism. There was just enough room to secure it there with a cable tie, and some Sugru. After that I plugged the handset into the jack on the base and connected the two wires from the handset jack that were attached to the speaker to the screw terminals on the Voice HAT. The re-wired internals of the modified GPO 746. Microphone board and Voice Kit both fixed in place with Sugru. Stripping the jack out where the phone line originally ran left two upright pillars that used to go on either side of the jack. I threaded the end of a 2.5A micro-USB charger through the hole and tied it around the pillars for strain relief. Which completed the re-wiring. The arcade button had been replaced with the dial stop microswitch and an LED which I was going to tuck just ahead of the microphone board in a convenient clip-like part of the body moulding. The speaker had been swapped out directly with the one in the handset—fortunately the impedance match wasn’t too far off—and the microphone had been mounted somewhere convenient inside the main body of the phone. A Working Phone Screwing everything back together we have once again something that looks like a phone. The assembled phone. I booted the Raspberry Pi, logged in via SSH and went ahead and ran the src/assistant_library_with_button_demo.py script from the dev console. A working build, but it’s not quite there yet. Success. Picking up the handset and dialling a number, any number, let you talk to the Voice Assistant. But it wasn’t quite there yet. While it worked, it didn’t feel like a phone. Adding a Dial Tone What the phone needed was a dial tone. It needed to play when the handset was lifted and shut off when the phone was dialled, or the handset replaced. The phone hook works the opposite way that you might expect, when the handset is in the cradle the microswitch that simulates the hook is open as the bar below it is pushed down by the hook. When the handset is off the hook, then the microswitch is closed as the bar moves upwards. Conveniently the Voice HAT breaks out most of the unused GPIO pins from the Raspberry Pi, so at least in theory wiring the the microswitch attached to the the hook mechanism to one to the Voice HAT should be fairly simple. Available unpopulated connectors on the Voice HAT. (Image credit: Google) Thinking about how to approach this in software however left us with a bit of a quandary. While the underlying Python GPIO library allows us to detect both the rising and falling edge events when a switch is toggled, the AIY wrapper code doesn’t in the Voice Kit doesn’t. While I could have gone in and modified the wrapper code to add that functionality, I decided I didn’t want to mess around with that—perhaps I’ll get around to it later and send them a pull request—instead I decided to fix it in hardware and wire the hook switch into both GPIO4 and GPIO17. That way I could use one pin to monitor for GPIO.RISING, and the other for GPIO.FALLING. Wiring up the phone hook. It’s easy enough to do that using the aiy._drivers._button.Button class, and two callback methods. One called with the handset is taken off the hook, and the other called with it is replaced. All the additional wiring in place and working. We can then use the pygame library to play a WAV file in the background when the handset is lifted, and stop when it is replaced. We also have to add a stop command inside the _on_button_pressed() method so that the dial tone stops when the phone is dialled, and a call to stop_conversation() to stop the Voice Assistant talking if the handset is returned on hook while Google is answering our question. Adding a Greeting and a Hang Up Noise We’re not quite there yet, we can also use aiy.audio.play_wave() to add that distinctive disconnect noise when Google finishes talking and “hangs up” before returning to our dial tone. We can also use aiy.audio.say(‘…’) call to add a greeting when Google “picks up” the phone to talk to us. The final build. It’s surprising how much atmosphere just adding these simple sounds ended up making to the build, and how much the user experience was improved. It now doesn’t just look like a rotary phone, it sort of feels, and perhaps more importantly, sounds like one too. The Script The final version of the script has amazingly small number of modifications away from the original version distributed byGoogle. Which sort of shows how simple it is to build something that looks and feels very different from the original cardboard box with not a lot of effort, at least on the software If you want to replicate the build you can grab the two mono WAV files I used for the build from Dropbox. Although, if you’re outside the the United Kingdom, you might want to replace the standard British dial tone of 350Hz and 450Hz—which you hear any time you lift a phone off the hook—with something more appropriate. Available to Preorder The new kits are being produced by Google, and are available to pre-order at Micro Center and through their resellers like Adafruit, and SeeedStudio. The AIY Voice Kit is priced at $25 on its own, but you can pick one up for free if you order a Raspberry Pi 3 at $35 for in-store pickup from Micro Center. My new retro rotary phone build next to my original Voice Kit. The kit will be available in the United Kingdom through Pimoroni, and cost £25, and you can expect shipping dates for kits ordered in through them to be similar to those ordered from Micro Center.

Add Python logging levels for when DEBUG just isn't enough

Minimal-dependency python reimplementation of just enough of bower to deploy an app on the server side

Simple Flappy Bird Game project is written in Python. The project file contains asset files, python scripts (flappybird.py). The gameplay Graphics is good enough and the controls are simple for the users. Talking about the gameplay, it’s one of the most addictive and played games for all. All the playing methods are too simple just like the real one. All you have to do is just try to stay in the middle of the screen until long green pipes appear in front of you. Here, the user has to control the bird flapping up, down using Spacebar, without touching pipes in order to score game points. This means the more you pass through green pipes, more will be the game points. A simple GUI is provided for the easy gameplay. The gameplay design is so simple that user won’t find it difficult to use and navigate.

This is a series of Python Scripts that I wrote and presented as part of a cloud based lab at Insight's Transform conference a few years ago..

A python library project that simplifies snap7 library which enables communication between siemens S7 controllers and a PC. It has enough functions to run a script inside a PC and use S7 controller to just read inputs and control outputs.

Simple Python Script to ingest bank statements and create a CSV file, which can easily be imported into any spreadsheet software. I am aware that there are some webpages that can do this for you, but I don't trust the internet enough to just hand them my bank statements on a silver platter. Currently only supports bank statements from BBVA and HSBC (Mexico). It works sufficiently well for now, but I am aware that there are some issues with my code.

The following scripts explore the Python ‘weakref’ (Weak references) module. The weakref module allows the Python programmer to create weak references to objects. In the following, the term referent means the object which is referred to by a weak reference. A weak reference to an object is not enough to keep the object alive: when the only remaining references to a referent are weak references, garbage collection is free to destroy the referent and reuse its memory for something else. However, until the object is actually destroyed the weak reference may return the object even if there are no strong references to it. A primary use for weak references is to implement caches or mappings holding large objects, where it’s desired that a large object not be kept alive solely because it appears in a cache or mapping. For example, if you have a number of large binary image objects, you may wish to associate a name with each. If you used a Python dictionary to map names to images, or images to names, the image objects would remain alive just because they appeared as values or keys in the dictionaries. The WeakKeyDictionary and WeakValueDictionary classes supplied by the weakref module are an alternative, using weak references to construct mappings that don’t keep objects alive solely because they appear in the mapping objects. If, for example, an image object is a value in a WeakValueDictionary, then when the last remaining references to that image object are the weak references held by weak mappings, garbage collection can reclaim the object, and its corresponding entries in weak mappings are simply deleted. WeakKeyDictionary and WeakValueDictionary use weak references in their implementation, setting up callback functions on the weak references that notify the weak dictionaries when a key or value has been reclaimed by garbage collection. WeakSet implements the set interface, but keeps weak references to its elements, just like a WeakKeyDictionary does. finalize provides a straight forward way to register a cleanup function to be called when an object is garbage collected. This is simpler to use than setting up a callback function on a raw weak reference, since the module automatically ensures that the finalizer remains alive until the object is collected. Most programs should find that using one of these weak container types or finalize is all they need – it’s not usually necessary to create your own weak references directly. The low-level machinery is exposed by the weakref module for the benefit of advanced uses. Not all objects can be weakly referenced; those objects which can include class instances, functions written in Python (but not in C), instance methods, sets, frozensets, some file objects, generators, type objects, sockets, arrays, deques, regular expression pattern objects, and code objects.

As we all know the situation in the world is going on the pandemic crisis all over the world of covid 19 everyone is scared and everything is just shut down the offices, industries, shops, schools and colleges people are advised to stay home and stay safe from this problem the only solution is now to stay in home so this is the time to do some thing at home rather then sitting alone and doing nothing at home and getting depressed from this corona virus you can use this time to learn new things and upgrade your skills for better growth so there are online study programs which are provided by our institute and you can learn selenium with java online training by our Institute that provides software testing training courses and classes online and offline to our candidtes so candidates should know how important is testing for a project to know that everything which is done on the project is working or not and there will be no errors and if there are you need to solve them in the process also for that we use testing processes and tools to test and to solve .automation testing is also one of the testing Technique which we use. Automation testing is a Software testing technique to test and compare the actual output with the expected output. This can be achieved by writing test scripts or using any automation testing tool. Test automation is used to automate repetitive tasks and other testing tasks which are difficult to perform manually. The main goal of Automation testing is to increase efficiency and develop software value. Automation testing processes to test the application through any tool. Widely used automation testing tools are selenium & UFT (Unified functional testing). UFT is a licensed tool while selenium is open-source. Most of the start-up and mid-level organizations are using Selenium. Selenium got popular due to saving of License cost for the automation Tool. the industry is changing rapidly towards automation so in the current scenario, every tester required hands-on experience in selenium. Askme provides Online Automation testing training in Noida What is Selenium? Selenium is a free (open source) automated testing suite for web applications across different browsers and platforms. It is quite similar to HP Quick Test Pro (QTP now UFT) only that Selenium focuses on automating web-based applications. Testing done using the Selenium tool is usually referred to as Selenium Testing. Primarily, Selenium was created by Jason Huggins in 2004. An engineer at ThoughtWorks, he was working on a web application that required frequent testing. Having realized that the repetitious Manual Testing of their application was becoming more and more inefficient, he created a JavaScript program that would automatically control the browser's actions. He named this program as the "JavaScriptTestRunner." What are Selenium Components? • Selenium Integrated Development Environment (IDE) • Selenium Remote Control (RC) • WebDriver • Selenium Grid What is Selenium IDE Selenium IDE is a simple record and playback kind of tool which comes as an add-on for Mozilla Firefox only. Test cases written in IDE can be exported in many programming languages like Ruby, Java, C#, etc. Edit and Debug options along with records are also available. It is an excellent tool for beginners to understand the syntax of Selenium WebDriver. What is Selenium RC Selenium RC (Remote Control) was the first tool of Selenium Suite. Earlier it was known as JavaScript Executor. RC was the tool that made Selenium famous in the market. It was the first tool that provided the support for multiple programming languages (JAVA, Ruby, Perl, PHP, Python, and C#). Selenium WebDriver: Selenium WebDriver is the most important tool of the Selenium suite. Because of the many limitations with RC, WebDriver was developed. It does not require any manual process like the Selenium Server. There is direct communication between code and browser. Features of Selenium WebDriver: l Open source l Supports all browsers like Firefox, Internet Explorer, Google Chrome, Safari, etc. l Support Multiple languages like C#, JAVA, Ruby, Perl, Python, and PHP. l Supports multiple platforms like Linux, Windows, MAC, etc. l No middleman like Selenium RC server is required. Easy to remember API. What is selenium with java tool.? Selenium is a portable framework for testing web applications. ... It also provides a test domain-specific language (Selenese) to write tests in some popular programming languages, including C#, Groovy, Java, Perl, PHP, Python, Ruby, and Scala. As I got a frequent question from students is it right automation will replace the manual tester job? Can I become an automation tester as I don’t know to code? Where we can use the automation tool? or which is the best institute for selenium training or automation testing training? what is the selenium training cost To answer the above question Askme training Noida which provides the best Automation testing training in Noida and Delhi NCR Selenium with java training and the other answers are The Automation tool can’t replace the manual tester job at all. We have to first stable the application functionality from Manual testing. Automation testing can’t find the bug which we can find after testing the application manually and performing the different steps from our mind. Automation testing is not feasible for a short term project. Once application functionality is stable and every month build is going on live site then we can go for automation testing. Whenever any build is released to live site we have to make sure the existing functionality of the application is not affected due to new enhancement or bug fixes. We have a set of an important test case of a regression suite that is mandatory to run at least once before going live. To reduce the execution time cycle of regression testing we use automation testing. Yes, you need to learn to code to become an automation tester. We teach coding from basic to intermediate levels in a very effective and easy method. Our instructors are so confident that they can train to code any student whose analytical skill is good and ready to accept the challenge of the fear of coding. Askme offers Selenium with Python and Selenium with Java training in Noida courses. To start Selenium we first trained enough in coding in anyone of language i.e Python or Java then move into Selenium.that will help students to learn easily with this. Askme training is the best institute for automation testing training in Noida that provides Online software testing training courses and classes so you can learn selenium online that you don't need to get out of your home and learn from home and upgrade your skills and utilize this time for your benefits and well being also.

This template provides just enough to get started with your Python application

No description available

Just enough Python for R users to write advanced Snakemake workflows

Simple configuration management for Python projects. Just opinionated enough.

A Python Library for Parsing JEML (Just Enough Markup Language)

Given enough data, could we make predictions on whether a terrorist attack will be successful, or not? This analysis aims to do just that using Decision Trees and Random Forests created with scikit-learn. (Python)

Simple Python Server which emulates just enough of the Kodi JSON-RPC interface for netflixbmc android client call

Just having fun with python and Bluesky's AT Protocol. Trying to build a simple CLI and enough of SDK to easily explore and collect my own Bluesky data

A terminal "therapist" built in Python that roasts your height, questions your mood, and politely profiles your entire vibe using conditionals, loops, and just enough sarcasm (with love of course)!!

I made it by my basic knowledge about Tkinter in python, just for coding camp event on my college. It was quite hard to make, but I satisfied enough with the result.