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Jack-Cherish/PythonPark resource

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。 observed · 2026-08-28

github.com/Jack-Cherish/PythonPark · Python observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2317
  • days_rel: n/a
  • days_push: 645
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

11677 stars · 1676 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

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

learning-resource · maturity maintenance

machine-learning deep-learning web-scraping nlp tutorials machine-learning deep-learning crawlers education python python-tutorial self-study interview-preparation data-structures chinese-language learning-roadmap

1 source

Member repositories

RepositoryRoleHealth v2
Jack-Cherish/PythonParkmain32

For agents

markdown · JSON · MCP: product_card(name="Jack-Cherish/PythonPark")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem