MorvanZhou/tutorials
One Chinese developer's spare-time tutorial empire, 13k stars strong
Chinese tutorials that thread Python basics, ML frameworks, and Linux into one learning path.
Not currently ranked — collecting fresh signals.
star history
What it does This is the GitHub home of “Mofan Python,” a broad Chinese-language tutorial series by Zhou Mofan. The material covers Python fundamentals like threading and multiprocessing, jumps into machine learning via TensorFlow, PyTorch, Keras, and scikit-learn, and even detours into web scraping, Git, and Linux basics. It reads as a personal curriculum rather than a reusable library.
The interesting bit The scope is unusually wide for a spare-time project—reinforcement learning and evolutionary algorithms sit alongside tkinter and Matplotlib—suggesting the author is optimizing for “learn everything in one place” rather than depth in any single framework. Nearly 13,000 stars indicate it has found a large audience that values this breadth.
Key highlights
- Covers TensorFlow, PyTorch, Theano, Keras, and Scikit-Learn
- Includes practical tooling: Numpy, Pandas, Matplotlib, web scraping, Git, Linux basics
- Entirely in Chinese (Mandarin)
- Personal spare-time project by Zhou Mofan (Mofan Python)
- 12,959 GitHub stars
Caveats
- All content is in Chinese; no English translations are offered in the repository
Verdict Worth bookmarking if you read Chinese and want a broad tour from Python basics to machine learning. Skip it if you are looking for a maintained open-source library or English-language documentation.
Frequently asked
- What is MorvanZhou/tutorials?
- Chinese tutorials that thread Python basics, ML frameworks, and Linux into one learning path.
- Is tutorials open source?
- Yes — MorvanZhou/tutorials is open source, released under the MIT license.
- What language is tutorials written in?
- MorvanZhou/tutorials is primarily written in Python.
- How popular is tutorials?
- MorvanZhou/tutorials has 13k stars on GitHub.
- Where can I find tutorials?
- MorvanZhou/tutorials is on GitHub at https://github.com/MorvanZhou/tutorials.