# Jack-Cherish/PythonPark

Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。

Repository: https://github.com/Jack-Cherish/PythonPark
Canonical: https://ross.abutalabs.com/products/pythonpark
Language: Python
License Family: other
Topics: python3, pytorch, deeplearning, deep-learning, webspider, python, python-spider
Last push: 2024-11-26T06:12:16+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2317, "days_push": 645, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 11677, forks 1676 (observed 2026-08-28T04:10:49.387401+00:00)

## What it is
A curated Chinese-language collection of Python self-study tutorials covering machine learning, deep learning, web scraping, data structures, and career guidance. It aggregates original articles, videos, and learning roadmaps rather than shipping a software library.

## Use cases
- learn python from scratch
- machine learning tutorials for beginners
- deep learning practical examples
- learn web scraping in python
- data structures study guide
- algorithm engineer interview preparation
- find python learning resources

## When to choose
- you want structured, beginner-friendly Python and AI tutorials in Chinese
- you need practical ML/DL examples with accompanying articles and videos
- you are preparing for tech interviews at large companies

## When to avoid
- you need production-ready, licensed code to depend on
- you prefer English-language documentation
- you want a maintained software package rather than a tutorial collection

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, web-scraping, nlp
- domain: tutorials, machine-learning, deep-learning, crawlers, education
- platform: python
- tags: python-tutorial, self-study, interview-preparation, data-structures, chinese-language, learning-roadmap

## Member repositories
- Jack-Cherish/PythonPark (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:49.387401+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:15:24.876730+00:00, confidence not recorded.
  - readme: https://github.com/Jack-Cherish/PythonPark (fetched 2026-08-28T04:10:49.387401+00:00, sha 71e36d06e236)
- Data as of 2026-08-30T08:39:29.467469+00:00.