jackfrued/Python-100-Days

A Chinese-language 100-day Python curriculum that walks "from beginner to master" — covering language fundamentals, data, web, ML, and project case studies.

What it is

A long-running, day-by-day Python study plan written in Chinese by 骆昊 (Luo Hao). The 100 "days" are structured chapters spanning Python basics, data structures and algorithms, object-oriented programming, web scraping, web development with Django/Flask, data analysis (NumPy / pandas / matplotlib), machine learning fundamentals, and capstone projects. Delivered as Jupyter notebooks + markdown chapters; readers work through one chapter per day at a recommended pace.

Key features

100 structured chapters that escalate from Python syntax to applied data science and ML.
Jupyter notebook format for interactive runs alongside the markdown narrative.
Covers both classical Python (CLI, scripting, OOP) and applied tracks (web scraping, Django, Flask, data analysis, machine learning intro).
Chinese-language original; widely cited as the canonical Chinese Python self-study resource.
Companion code examples shipped alongside each chapter.

Tech stack

Jupyter Notebook primary; Python 3.x in the notebooks.
No build tooling at the root — chapters are standalone notebook files.
Code examples spread across Day01 ~ Day100 directories.

When to reach for it

You're a Chinese-speaking learner starting Python from scratch and want a paced curriculum.
You're moving from one skill area (basics) to another (data / web / ML) and want a sequenced bridge rather than separate courses.
You're teaching Python in a Chinese-speaking environment and need a syllabus anchor.

When not to reach for it

You're not comfortable reading Chinese — the chapters aren't translated in this repo.
You want a single-focus, deep-dive on one Python topic (e.g. only ML). The curriculum is breadth-first.
You need formal certification — this is self-study material with no credential.

Maturity signal

182k stars, 55k forks, last push April 2026 (~2 months before generation) — actively maintained though not on a continuous-commit cadence. 8-year-old project that has remained the top Chinese-language Python self-study reference. License absent (null SPDX) — typical for course material under personal authorship; downstream redistribution should preserve attribution.

Alternatives

freeCodeCamp/freeCodeCamp — use when you want English-language paced curriculum with certifications.
python/cpython — use for the canonical Python language source.
vinta/awesome-python — use when you've passed the curriculum and want a curated library index.

Notes

The "100 days" framing is aspirational — most learners take 6+ months to work through the full curriculum because later chapters (data, ML) require substantial outside reading. License absence is the typical gotcha for Chinese-language educational repos; verify before commercial translation or redistribution.

Wiki: jackfrued/Python-100-Days