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walter201230/python

📈 Trending26,047PythonAudience · vibe coderComplexity · 1/5ActiveLicenseSetup · easy

TLDR

A comprehensive Chinese-language Python tutorial for beginners, covering basics through advanced topics like async programming, decorators, and modern tools.

Mindmap

mindmap
  root((repo))
    What it covers
      Basics and data types
      Functions and classes
      Advanced patterns
      Modern tooling
    Learning path
      Installation setup
      Core concepts
      Intermediate skills
      Real-world tools
    Topics included
      Threading and async
      Regular expressions
      Testing with pytest
      Decorators and closures
    Audience
      Chinese speakers
      Complete beginners
      Self-taught learners
    Format
      Structured articles
      Progressive difficulty
      Code examples
      2026 updates

Things people build with this

USE CASE 1

Learn Python fundamentals from zero if you speak Chinese and want a patient, structured guide.

USE CASE 2

Understand what your AI-generated Python code actually does by filling in foundational knowledge gaps.

USE CASE 3

Study modern Python tooling like async programming, decorators, and command-line app frameworks.

USE CASE 4

Reference a comprehensive tutorial covering everything from variables to testing and packaging.

Tech stack

PythonpytestPydanticuvtyper

Getting it running

Difficulty · easy Time to first run · 5min
Use freely, including commercial. Just credit the original author.

In plain English

This is a beginner-friendly Python tutorial written entirely in Chinese. It covers Python programming from scratch, installing Python, writing your first program, understanding data types, loops, functions, and working up through more advanced topics like threading, regular expressions, decorators, and async programming. The course is structured as a series of articles organized progressively: basics first (variables, lists, dictionaries, conditions), then intermediate concepts (classes, modules, closures), and finally modern Python tooling like testing with pytest, packaging, logging, and code formatting. The 2026 edition was updated with AI assistance and includes newer chapters on tools like Pydantic, uv (a fast Python package manager), and typer (for building command-line apps). The author notes in the README that the AI coding era has arrived and that learning Python by typing code manually is now considered "old-school programming" by some, suggesting learners might prefer asking AI directly, but the tutorial remains popular and was updated anyway. For a non-technical founder: this is a learning resource, not a software tool. It is aimed at Chinese-speaking beginners who want to learn Python in a structured, patient way. You would not install or deploy this, you would read it. If you are a vibe coder who uses AI tools but wants to understand what your Python code is actually doing, a resource like this (or its English equivalent) would help fill in the foundational knowledge. Nearly 26,000 GitHub stars reflect strong demand for quality Chinese-language Python learning material.

Copy-paste prompts

Prompt 1
I'm using AI to write Python code but don't understand what it's doing. Walk me through the basics of Python variables, data types, and functions using simple examples.
Prompt 2
Show me how to use decorators and closures in Python with real code examples I can run.
Prompt 3
Explain how async programming and threading work in Python, and when I should use each one.
Prompt 4
Help me set up testing with pytest and understand how to structure a Python project for packaging and distribution.
Prompt 5
I want to build a command-line app in Python. Show me how to use typer and Pydantic to handle arguments and data validation.
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.