Coding articles to level up your development skills
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Clean Code concepts adapted for JavaScript
- javascript
- principles
- composition
- inheritance
📜 33 JavaScript concepts every developer should know.
Based on a true story
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
- cheatsheets
- javascript
- bash
- nodejs
Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.
- ai
- github-copilot
- prompt-engineering
- hacktoberfest
An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
- owasp
- code
- security
- cheatsheets
A set of best practices for JavaScript projects
- best-practices
- maintainability
- guidelines
- javascript
🎨 A curated list of delightful VS Code packages and resources.
- visual-studio
- vscode
- vscode-theme
- vscode-extension
📗🌐 🚢 Comprehensive and exhaustive JavaScript & Node.js testing best practices (August 2025)
🛠️⚡ Step-by-step tutorial to build a modern JavaScript stack.
Starter files, final projects, and FAQ for my Complete JavaScript course
- udemy
- starter-files
- javascript-course
Mini projects built with HTML5, CSS & JavaScript. No frameworks or libraries
Translated:scroll: 33 concepts every JavaScript engineer should know @leonardomso
ES2015 [ES6] cheatsheet containing tips, tricks, best practices and code snippets
- javascript
- es6-javascript
- cheatsheet
Community curated list of templates for the nuclei engine to find security vulnerabilities.
- nuclei-templates
- nuclei
- bugbounty
- security
The open curriculum for learning web development
WebRTC, WebRTC and WebRTC. Everything here is all about WebRTC!!
- webrtc
- webrtc-demos
- webrtc-experiments
- webrtc-samples
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Awesome XSS stuff
- xss
- payload
- xss-payloads
- payload-list
Community list of awesome projects, apps, tools, pinning services and more related to IPFS.
- ipfs
- awesome-ipfs
- awesome
- awesome-list
A curated list of Game Boy development resources such as tools, docs, emulators, related projects and open-source ROMs.
- gameboy
- gameboy-emulator
- documentation
- retrogaming
A series of web components examples, related to the MDN web components documentation at https://developer.mozilla.org/en-US/docs/Web/Web_Components.
- examples
- web-components