# jackfrued/Python-Core-50-Courses

Python语言基础50课

Repository: https://github.com/jackfrued/Python-Core-50-Courses
Canonical: https://ross.abutalabs.com/products/python-core-50-courses
License Family: other
Last push: 2025-12-18T12:07:51+00:00

## Health v2 (maintenance only)
Score: 58/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 57, release rhythm 35, longevity 100
- inputs: {"age_days": 2345, "days_push": 258, "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 12588, forks 2952 (observed 2026-08-28T04:10:59.374201+00:00)

## What it is
A Chinese-language beginner course of 50 lessons teaching Python language fundamentals, rewritten from the first 15 days of the author's Python-100-Days project to be more approachable for newcomers. It includes lesson materials, code files, and links to companion video tutorials.

## Use cases
- learn python from scratch
- python basics course for beginners
- learn python syntax step by step
- beginner python tutorial in chinese
- find a structured python learning path
- python fundamentals lessons with examples

## When to choose
- you are a complete beginner wanting a gentle, structured introduction to Python
- you prefer Chinese-language lessons and video tutorials
- you found Python-100-Days too fast-paced and want simpler material

## When to avoid
- you need advanced or intermediate Python topics beyond language basics
- you want an English-language curriculum
- you need a maintained software library rather than course content

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: education, programming-languages, tutorials
- platform: python, cross-platform
- tags: python-basics, beginner-friendly, course, chinese-language, tutorial-series

## Member repositories
- jackfrued/Python-Core-50-Courses (main) score 58

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:59.374201+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 2026-08-29T17:13:56.940040+00:00, confidence not recorded.
  - readme: https://github.com/jackfrued/Python-Core-50-Courses (fetched 2026-08-28T04:10:59.374201+00:00, sha 0dc026666c10)
- Data as of 2026-08-30T08:39:29.467469+00:00.