Chinese Poetry is a large open corpus of Chinese poetry with data on poems, authors, dynasties, and related material.
Open Source: #education
Catalog projects marked with #education. Tags work as dedicated landing pages, so related tools are easier to find and connect.
This collection holds 78 projects with a combined 6,658,813 GitHub stars. Main languages: Python, Jupyter Notebook, JavaScript.
About the educational projects
The best programming study materials have long lived on GitHub: free, current, and vetted by thousands of learners. Roadmaps, interactive courses, and exercise collections update faster than any paid course.
This collection gathers educational repositories, from structured curricula to exercise sets. Stars are an honest signal here: bad study material does not collect hundreds of thousands of them.
Repositories
100 Days Of ML Code is a learning path for machine learning with daily practice and examples.
Professional Programming is a large catalog of resources for developers who want structured professional growth.
Kubernetes The Hard Way is a learning guide for manually bootstrapping a Kubernetes cluster without automation scripts.
Algorithm Visualizer is an interactive platform that shows how algorithms work through code-driven visualizations.
Python Data Science Handbook is Jake VanderPlas’s open book in Jupyter Notebook form for the Python data science stack.
Type Challenges is a collection of exercises for deeply learning the TypeScript type system with online checks and local play.
AI for Beginners is Microsoft’s 12-week, 24-lesson curriculum for learning the basics of artificial intelligence.
Made With ML is a practical course on designing, deploying, and iterating ML applications from experiment to production.
Design Patterns for Humans is a simple explanation of classic design patterns with examples and warnings about misuse.
Projects is a list of practical programming ideas that can be implemented in any language.
React TypeScript Cheatsheet is a practical React and TypeScript reference for developers who already know React and are moving into typed code.