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# Introduction
GitHub is much more than just a platform for sharing code or hosting open-source projects. It is also a treasure trove for learning, mastering new skills, and finding quick-reference resources like cheat sheets. Whether you are a developer, data scientist, or just someone eager to learn, GitHub offers a wealth of cheat sheet repositories that can help you boost your productivity.
In this blog, we will review some of the most popular and comprehensive cheat sheet collections available on GitHub. These repositories cover a wide range of topics, including Docker commands, mathematics, Python, machine learning, data science, data visualization, CLI commands, and much more.
# Cheat Sheet Collections on GitHub
// 1. cheat.sh: The Only Cheat Sheet You Need
Link: chubin/cheat.sh
Cheat.sh is a unified command-line and web interface that provides access to community-driven cheat sheets on programming, DevOps, and more. It is a practical way to access cheat sheets while working on projects. With a simple CURL command, you can search for commands in any programming language.
// 2. Awesome Cheatsheets: Quick References for Every Developer
Link: LeCoupa/awesome-cheatsheets
A comprehensive collection of cheatsheets for popular programming languages, frameworks, and development tools. Everything you need to know is organized into single files for quick reference, making it an essential resource for developers at all skill levels. It includes cheat sheets for frontend and backend languages, databases, as well as tools for development and deployment.
// 3. Docker Cheat Sheet: Essential Docker Commands and Tips
Link: wsargent/docker-cheat-sheet
This repository provides a convenient cheat sheet for Docker, highlighting the most important commands, tips, and best practices for containerization and DevOps workflows. It is a simple cheat sheet created using Markdown, formatted as a README file so that you can view it as a webpage. It includes various examples and code snippets for easy reference.
// 4. Math as Code: Mathematical Notation for Developers
Link: Experience-Monks/math-as-code
A unique cheat sheet that translates mathematical notation into code, making it easier for developers to understand and implement mathematical concepts in their projects.
// 5. Cheatsheets-AI: Machine Learning & Deep Learning Essentials
Link: kailashahirwar/cheatsheets-ai
A collection of essential cheat sheets for deep learning and machine learning researchers. Perfect for quick reference on algorithms, frameworks, and concepts. Although it’s a bit old, it was quite popular during the peak of deep learning’s hype.
// 6. Python Cheatsheet: Comprehensive Python Reference
Link: gto76/python-cheatsheet
A markdown-based Python cheatsheet covering syntax, data structures, libraries, and common coding patterns. It is great for both beginners and experienced Pythonistas. This repository is one of the most starred on GitHub for cheat sheets.
// 7. Data Science Cheatsheets: Rule the World of Data
Link: FavioVazquez/ds-cheatsheets
A comprehensive list of data science cheat sheets, including statistics, machine learning, and data visualization. Ideal for students, professionals, and anyone in the data science field. It also includes cheat sheets for Python, R, big data, and SQL.
// 8. Matplotlib Cheat Sheets: Official Visualization Reference
Link: matplotlib/cheatsheets
The official Matplotlib cheat sheets serve as quick reference guides for creating plots and visualizations in Python, making it easier to master data visualization. These resources are particularly helpful when you are working on data analysis projects and need a reminder of which graph to use. The cheat sheets provide a visual representation of all the types of available visualizations.
// 9. tldr-pages: Collaborative Cheatsheets for Console Commands
Link: tldr-pages/tldr
tldr-pages provides community-driven cheatsheets for console commands, making it easy to find practical examples and usage for numerous CLI tools. It is a must-have for anyone who spends a lot of time in the terminal.
// 10. Devhints Cheatsheets: Web Development at a Glance
Link: rstacruz/cheatsheets
A cheat sheet collection for web development, including HTML, CSS, JavaScript, and more. Devhints offers clear, concise, and well-organized references for developers.
# Conclusion
These cheat sheets are designed primarily for professionals who need a quick refresher before an interview or while working on a project. Rather than being introductory guides, they offer concise, bite-sized information that allows you to grasp core concepts and essential commands within just a few minutes. This makes them ideal for experienced users who want to efficiently review and reinforce their knowledge without wading through lengthy documentation.
Abid Ali Awan (@1abidaliawan) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies. Abid holds a Master’s degree in technology management and a bachelor’s degree in telecommunication engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.
