jack-cherish/pythonpark

PythonPark is a curated collection of Python learning materials maintained by a Chinese developer named Jack Cui. The project serves as a one-stop reference for people who want to learn Python from scratch, covering everything from the basics of the language up through machine learning and deep learning topics. Most of the content is written in Chinese and links out to blog posts, videos, and WeChat articles the author has published over several years. The repository is organized into topic sections: a learning roadmap, video tutorials hosted on Bilibili (a Chinese video platform), foundational data structures and algorithms, core AI concepts, and applied AI experiments. Each section links to individual articles or videos rather than hosting code directly. The author describes the content as beginner-friendly and commits to publishing at least two original articles per week. The AI and machine learning sections cover topics like GPU setup, the Transformer model architecture, YOLO object detection, PyTorch basics, and various computer vision applications such as face editing, pose estimation, and image restoration. A web crawler section teaches how to scrape websites using Python. There is also an interview preparation section with notes from technical interviews at large Chinese tech companies. A visual mind map at the bottom of the README summarizes the full content structure across seven categories: learning paths, videos, data structures and algorithms, AI basics, AI experiments, machine learning practice, and deep learning practice. This repository does not contain runnable code itself. It is a link collection and study guide. If you are looking for a structured Python learning curriculum in Chinese, particularly one that covers both practical AI experiments and career preparation, this repository is a straightforward starting point. Readers who need English-language resources will find most of the linked materials inaccessible, as the blog posts and videos are entirely in Chinese.