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.
This tutorial walks through creating a Python program that captures spoken input, converts it to text with Baidu AI, sends the text to the free Qingyunke chatbot API for a response, and finally synthesizes the reply back into speech, complete with code snippets and setup instructions.
This article explains the distinction between global and local variables in Python, demonstrates how to use the global keyword to modify variables across scopes, provides detailed examples, best‑practice guidelines, common pitfalls, and exercises to help you write cleaner, more maintainable code.
This comprehensive guide walks you through Python performance optimization, covering profiling, algorithmic improvements, data‑structure choices, code‑level tricks, concurrency, memory management, third‑party libraries and a practical checklist to ensure your programs run faster and more efficiently.
Learn how to dramatically speed up Python package installations by configuring pip to use domestic mirrors, with step‑by‑step instructions for temporary command‑line usage, permanent Windows and macOS/Linux configuration, and PyCharm graphical setup, plus a handy mirror source list.
This guide explains Python variable naming rules, lists allowed and prohibited characters, shows legal and illegal examples, recommends snake_case style, advises on meaningful names, and outlines constant naming conventions to help you write clear and maintainable code.
This comprehensive guide walks you through Python's evolution from simple generators using yield, through two‑way communication with yield expressions and generator delegation with yield from, to modern asynchronous programming with asyncio and async/await, including practical examples, performance comparisons, best practices, and common pitfalls.
This article evaluates various Docker base images—including Ubuntu, CentOS, Debian, Amazon Linux 2, official Python images, and Alpine—by examining stability, security updates, dependency freshness, library richness, Python version support, image size, and build time to guide developers in selecting the optimal base for Python applications.
This article showcases 20 practical Python techniques—from string reversal and title-casing to dictionary merging and execution timing—each illustrated with clear code examples, helping developers write more readable, efficient, and Pythonic code.
Python 3.14.0rc3, the final release candidate of the upcoming 3.14 series, arrives with major updates—including PEP 779’s GIL‑free support, delayed annotation evaluation, new t‑strings, multi‑interpreter stdlib, Zstandard compression, enhanced UUID generation, and build changes—while urging developers to prepare for the October 7 final release.
This article introduces ten Python data‑visualization libraries—ranging from the classic Matplotlib to newer tools like Gleam and Leather—detailing their main features, typical use cases, and where to find more information, helping readers choose the right tool for their projects.
