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 guide explains how to use industry sector classification to support value investing by scraping sector and stock data, parsing JSON responses, filtering by keywords, and exposing the results via FastAPI services, then displaying them in a Uniapp front‑end table for easy stock selection.
This article explains the different notification channels, walks through creating an Enterprise WeChat application, obtaining the required CorpID and secret, and provides a complete Python script to send alert messages via the WeChat API, illustrated with screenshots of the setup and results.
Nvidia announced native Python support for its CUDA toolkit, detailing new Python‑centric APIs, projects like CuTile and Cutlass, and a layered strategy that democratizes GPU programming for AI developers while preserving performance and expanding the ecosystem.
This article traces Python's 16‑year evolution from the 2008 release of Python 3.0 to the 2024 launch of Python 3.13, highlighting major syntax reforms, the rise of async/await, and the maturation of its type‑hinting system with performance benchmarks and code examples.
Polars is a high‑performance DataFrame library written in Rust with a Python API, offering lightning‑fast operations, zero‑copy I/O, parallel execution, lazy evaluation, and seamless integration with Arrow, making it a compelling alternative to pandas for large‑scale data processing.
This article explains what plugins are, shows how Python’s dynamic features enable flexible plugin systems, and provides step‑by‑step examples using pluggy and stevedore—including defining specifications, implementing plugins, packaging with entry points, and invoking them via driver or extension managers—while recommending stevedore for practical use.
This guide walks you through obtaining a DeepSeek API key, installing the Continue plugin in PyCharm, configuring the plugin with DeepSeek‑V3 settings, and using the AI to explain or modify selected code snippets, complete with screenshots and a ready‑to‑paste JSON configuration.
This article compares Polars with Pandas, Tidyverse, and Base R, showing how Polars’ Rust implementation, Arrow integration, lazy execution and expressive API deliver 5‑10× speed gains and lower memory usage, and explains why beginners may find Polars easier to learn.
Learn the key differences between Python’s @staticmethod and @classmethod decorators, when to apply each, and see practical code examples that illustrate their proper use, helping you write cleaner, more organized class designs and avoid common pitfalls.
Python 3.14 introduces optional no‑GIL support, free‑threading, a concurrent interpreter and debugger improvements, offering 3‑5% performance gains while trading a slight single‑thread slowdown and higher memory usage, and includes an extensive interview with Guido van Rossum on the language’s future.
