- projects · GitHub Topics · GitHub
GitHub is where people build software More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects
- About Projects - GitHub Docs
About Projects Projects is an adaptable, flexible tool for planning and tracking work on GitHub About Projects A project is an adaptable spreadsheet, task-board, and road map that integrates with your issues and pull requests on GitHub to help you plan and track your work effectively
- Awesome, Useful, Open Projects - GitHub
A list of over 500 (and counting) open source projects that aims to have projects that is useful for any person that falls in between the range of tech-illiterate and 5head developer (is casual the word? idk) Maybe except for the Other section, that's just for fun This list does NOT include projects related to development such as APIs, libraries, and frameworks A version of the list without
- Getting started with GitHub Copilot
GitHub is where people build software More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects
- Quickstart for Projects - GitHub Docs
Quickstart for Projects Experience the speed, flexibility, and customization of Projects by creating a project in this interactive guide
- html-css-projects · GitHub Topics · GitHub
Welcome to the HTML CSS Mini Projects Website! 🎨 This website showcases various mini projects I created to enhance my front-end development skills Each project is displayed with an image preview, source code link, and live deployment link for easy access
- cybersecurity-projects · GitHub Topics · GitHub
GitHub is where people build software More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects
- data-science-projects · GitHub Topics · GitHub
Explore my diverse collection of projects showcasing machine learning, data analysis, and more Organized by project, each directory contains code, datasets, documentation, and resources Dive in, to discover insights and techniques in data science Reach out for collaborations and feedback
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