Python-100-Days is one of the most visible Chinese Python learning repositories on GitHub. Its promise is direct: start from Python basics and move through files, data formats, SQL, Django, web scraping, data analysis, machine learning, testing, deployment, and project work.
That shape explains both its appeal and its risk. It gives beginners a numbered path when “learn Python” feels too broad. It also mixes material with very different shelf lives. Variables, loops, strings, lists, files, SQL, and HTTP age slowly. Tooling, Django patterns, scraping practice, machine learning examples, and deployment advice need more checking.
As of 2026-06, the repo has 183,263 stars, 55,662 forks, and 699 open issues. It is not archived and was last pushed on 2026-04-13. GitHub does not report a license for the repository. The README also points to the author’s Zhihu columns, Bilibili videos, and a paid study group, so readers should treat the GitHub repo as free learning material connected to a wider personal teaching channel.
What The 100 Days Cover
The README is a table of contents more than a landing page. Day 1 to Day 20 covers Python language basics: setup, first program, variables, operators, branches, loops, lists, tuples, strings, sets, dictionaries, functions, modules, decorators, recursion, and object-oriented programming.
Day 21 to Day 30 turns to practical file and data handling: file IO, exceptions, serialization, CSV, Excel, Word, PowerPoint, PDF, images, email, SMS, and regular expressions. Day 31 to Day 35 adds advanced Python, web frontend basics, and Linux. Day 36 to Day 45 covers MySQL and SQL, then Python access to MySQL and Hive practice.
The middle of the plan is Django-heavy. Day 46 to Day 60 covers Django quick start, models, static assets, Ajax, cookies, sessions, reports, logs, middleware, RESTful architecture, Django REST Framework, caching, third-party platforms, async tasks, tests, and deployment.
Day 61 to Day 65 covers web data collection. The README explicitly includes legality discussion for scraping, which is a useful warning for a topic that attracts shortcuts. Day 66 to Day 80 covers data analysis with NumPy, pandas, and visualization. Day 81 to Day 90 covers machine learning basics. Day 91 to Day 100 moves into team project development, Docker, MySQL performance, API design, commercial Django projects, testing, ecommerce architecture, deployment, interview notes, and extra material.
How To Use It
There is no install step for the repository itself. It is a content repo. Read it on GitHub, clone it for offline reading, or follow the linked external columns and videos if those formats suit you.
Do not clone it expecting a single runnable course app. The repository contains many Markdown files, notebooks, examples, and resource folders across different days. Some sections teach environment setup and package use, but the repo is not one package with one command.
The best way to use it is to split the 100 days into checkpoints. For absolute beginners, finish Day 1 to Day 20 slowly and write small programs after each topic. Do not rush into Django before functions, modules, dictionaries, and basic object-oriented programming feel normal.
For people who already know Python syntax, skip the early explanations and use Day 21 onward as a project map. Pick one track: backend with Django, automation and file processing, data analysis, or machine learning basics. Trying to finish every branch in order can turn into passive reading.
What Makes It Useful
The repo’s strongest feature is sequencing. Many Python resources are either too small or too reference-like. Python-100-Days gives readers a path from the first Python program to web apps and data work. Even if a reader does not finish all 100 days, the table of contents can help them see what a practical Python learning path contains.
It is also written for Chinese learners. That matters for beginners who may understand syntax but struggle with English docs, error messages, and course pacing. The README links part of the first 20 days to a Zhihu column named “从零开始学Python”, and parts of the material have been synchronized to Bilibili. That makes the repo more accessible than a pure English reference list.
The project work near the end is another useful angle. Many tutorials stop after syntax and a few toy exercises. Python-100-Days pushes into team development, Docker, API design, testing, deployment, performance, and interview topics. Those sections are not enough to make someone job-ready by themselves, but they show the shape of work beyond language basics.
Where Readers Should Be Careful
The first issue is currency. Recent open issues mention an outdated pip search ujson command, possible text errors in Day 81, file reading sample problems, formula display problems, and questions about where exercises live. That is normal for a large tutorial repo, but it means readers should verify tool commands and library behavior before copying them.
The second issue is support expectations. Open issues include beginner questions, praise threads, requests for exercises, translation discussions, and reports of copied tutorials being resold. The author has responded in some threads, but GitHub issues are not a structured classroom.
The third issue is paid material around the free repo. The README says the free QQ group is full and mentions a paid study group. That does not make the GitHub repo less useful, but it changes the reading posture: the repository is free content, while support and coaching may live elsewhere.
The fourth issue is scope. A 100-day path can sound complete, but Python itself is only one layer. A backend role needs HTTP, databases, deployment, testing, and security practice. A data role needs statistics, SQL, data cleaning, notebooks, visualization, and domain judgment. Treat this repo as a broad start, then specialize.
Compared With Other Python Learning Repos
| Project | Stars as of 2026-06 | Language | License | Best fit |
|---|---|---|---|---|
| Python-100-Days | 183,263 | Jupyter Notebook | API null | Chinese path from Python basics to applied tracks |
| awesome-python | 302,340 | Python | NOASSERTION | Library and tool discovery after you know what you need |
| TheAlgorithms/Python | 221,848 | Python | MIT | Algorithm implementation reference and practice |
| freeCodeCamp | 446,617 | TypeScript | BSD-3-Clause | Interactive learning platform with exercises and certificates |
| CS-Notes | 184,515 | Markdown | API null, README has CC BY-NC-SA notice | Chinese CS and interview fundamentals review |
awesome-python is not a beginner course. It is a catalog of libraries and tools. Use it after you understand the problem area. TheAlgorithms/Python is useful when you want algorithm examples in Python, not a full Python path. freeCodeCamp is better when you want interactive lessons and progress tracking. CS-Notes is broader computer science review and less focused on Python.
Star Curve And Maintenance
The sampled star history has 33 points and reaches 183,263 stars on 2026-06-11. The curve fits a long-lived Chinese learning resource rather than a short hype cycle. Fork count is also high, which makes sense for a tutorial repo people may keep for offline reading or personal notes.
Maintenance is active enough to matter, but not classroom-like. The repo was pushed in 2026, and issues from 2026 discuss current content questions and old command drift. Readers should expect a living but imperfect resource.
Who Should Use It
Use Python-100-Days if you read Chinese and want a guided path into Python. It is strongest for learners who need structure and can tolerate self-study. It is also a good map for someone returning to Python after a gap.
Use it selectively if you already know the language. The Django, data analysis, machine learning, and project sections may be useful, but you can skip the first 20 days.
Use another resource first if you need formal assignments, automatic grading, a strict classroom schedule, or English-first documentation. This is a generous notes repository, not a managed course product.
FAQ
Is Python-100-Days free?
The GitHub repository is free to read. The README also mentions paid study groups and external author channels, so support and coaching may be separate from the free repo.
Does Python-100-Days have an official PDF?
The README presents GitHub content, Zhihu columns, and Bilibili videos. It does not make an official PDF the main path. Be careful with unofficial copies.
Is it good for absolute beginners?
Yes, especially if you read Chinese. Start with Day 1 to Day 20 and write code after each section. Do not skip practice just because the table of contents is long.
Is the repo still maintained?
It is not archived and was pushed on 2026-04-13 as of 2026-06. Issues also show 2026 activity. Some commands and examples may still drift, so verify tool-specific details.
Is it enough to become a Python developer?
No single repo is enough. It can give a path, but you still need projects, debugging, docs reading, code review, and role-specific practice.
Should I learn Django from this repo?
It is a useful introduction. For production Django work, pair it with current Django docs because framework defaults and ecosystem practices change.