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 article explains Python object injection, covering class basics, the pickle module's role in serialization, how untrusted data can lead to code execution, detection methods, and step‑by‑step creation of a malicious payload to demonstrate a real exploit.
This article examines the 22 most‑used Python packages on PyPI, explaining their core functionality, download statistics, and typical use cases—from HTTP clients like urllib3 to compatibility tools like six, security libraries such as certifi and rsa, and utility modules for dates, YAML, and concurrency—providing developers with a concise guide to essential Python tooling.
The article introduces the Jupyter MCP server, an extension that implements the Model Context Protocol to enable seamless, secure integration of large language models with Jupyter’s kernels, file system, and terminals, and details its architecture, core features, deployment steps, API mechanisms, and security considerations.
This guide shows how to use Python, Selenium, and requests to log into QQ Space, retrieve authentication cookies, compute the required g_tk token, fetch the full friend list via QQ's API, identify users who have blocked you, and optionally blacklist them automatically.
This guide shows how to build a WeChat bot using the PyWeChatSpy library and Tuling AI API, covering registration, API key acquisition, image folder setup, and a complete Python script that parses messages, replies to 'pats' with random images, and forwards other texts to the Tuling service for automatic responses.
This article compares Flask and FastAPI, explaining their core differences in speed, developer experience, and standards, and provides detailed code examples for installation, routing, async handling, dependency injection, validation, middleware, testing, deployment, and documentation to help developers decide which framework best fits their Python API projects.
This article explains the purpose and typical usage of various Python file extensions—including .py, .ipynb, .pyi, .pyc, .pyw, and .pyx—provides code examples, demonstrates how to write type‑hint files, and compares pure Python with Cython for performance‑critical tasks.
This article explains how the team migrated their Python‑based data pipeline to a Rust‑powered web framework (Robyn), achieving a four‑fold reduction in write latency, lower CPU/memory usage, and improved scalability through async I/O and MPSC channels.
This guide explains how to use a dedicated Oh My Zsh plugin to quickly switch and test PyPI mirror sources, improving package download speed for Python developers, especially in China, with step‑by‑step installation, usage commands, and a comprehensive list of supported mirrors.
This article introduces seven lesser‑known Python databases—PickleDB, TinyDB, ZODB, Durus, Buzhug, Gadfly, and PyTables—detailing their main features, typical use cases, cautions, and providing basic code examples to help developers quickly evaluate and adopt them.
