Fundamentals 4 min read

How to Access and Use the Official Python Chinese Documentation

This article explains why the official Python documentation historically lacked a Chinese version, shows how to access the Chinese docs via https://docs.python.org/zh-cn, lists the available language versions and content coverage, and provides tips for searching within the translated documentation.

Python Programming Learning Circle
Python Programming Learning Circle
Python Programming Learning Circle
How to Access and Use the Official Python Chinese Documentation

Previously, third‑party Chinese translations of Python documentation were limited and often outdated, leaving only English, French, Japanese, and Korean options in the official site.

The official Chinese documentation can be accessed at https://docs.python.org/zh-cn ; manually entering the zh-cn path reveals the translated site and a language selector.

Current Chinese docs cover Python 3.8.0a2, 3.7.3, 3.6.8, and 2.7.16, with only version 3.5.7 missing; they include the tutorial, language reference, release notes, installation guides, and FAQs, while advanced topics such as the Python/C API remain in English.

For beginners, the tutorial introduces basic concepts and can be read offline, while the language reference provides concise, formal syntax details; both are fully translated.

The documentation also contains a glossary translating Python terminology, helping users choose consistent translations for terms like “decorator”.

To search the Chinese docs, you can use the built‑in search box; for example, searching for “Lambda” shows the functional programming guide, though only a subset of advanced functional programming content is translated.

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Python Programming Learning Circle
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Python Programming Learning Circle

A global community of Chinese Python developers offering technical articles, columns, original video tutorials, and problem sets. Topics include web full‑stack development, web scraping, data analysis, natural language processing, image processing, machine learning, automated testing, DevOps automation, and big data.

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