30 Days Of JavaScript is a 30-day JavaScript learning path: language basics, DOM, promises, projects, and practical exercises.
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
Awesome Cheatsheets is a reference коллекцию of cheatsheets for languages, frameworks, databases, and tools in one repository.
Learn Regex is a learning guide to regular expressions with examples and explanations.
Android Architecture примеры is a set of TODO app examples with different Android architecture approaches, Jetpack Compose, ViewModel, Flow, coroutines, and Room.
Awesome Compose is a коллекцию of Docker Compose примеры for local development and experiments with multiple connected services.
C++ Core Guidelines is a collaborative set of rules and recommendations for simpler, safer, modern C++, led by Bjarne Stroustrup.
Front End Interview Handbook provides preparation material for front-end engineering interviews.
Build Web Application with Golang is an open book about building web applications in Go, with translations into several languages.
TensorFlow Examples is a set of beginner-friendly TensorFlow learning examples.
CPlusPlusThings is a learning repository for C++ with sections on fundamentals, modern language features, and practical topics.
Python Patterns is a catalog of design patterns and Python idioms with short code examples.
Data Engineering Zoomcamp is an open DataTalks.Club course on data engineering and practical pipelines.