# jackfrued/Python-100-Days

Python - 100天从新手到大师

Repository: https://github.com/jackfrued/Python-100-Days
Canonical: https://ross.abutalabs.com/products/python-100-days
Language: Jupyter Notebook
License Family: other
Last push: 2026-07-29T15:18:29+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 35, longevity 100
- inputs: {"age_days": 3107, "days_push": 35, "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 185644, forks 55708 (observed 2026-08-28T04:12:28.345965+00:00)

## What it is
A comprehensive 100-day Python learning curriculum written in Chinese, taking learners from beginner to advanced topics including web development, data analysis, and machine learning. It is structured as daily lessons with code examples and exercises in Jupyter Notebook and Markdown format.

## Use cases
- learn python from scratch
- python tutorial for beginners
- structured python study plan
- prepare for a python developer job
- learn data analysis with python
- practice python with daily exercises

## When to choose
- you are a complete beginner wanting a guided, day-by-day Python path
- you prefer Chinese-language learning materials
- you want broad coverage from basics to data science and web development

## When to avoid
- you need an official or peer-reviewed reference
- you require English-language instruction
- you want a quick cheat-sheet rather than a full curriculum

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: programming-languages, tutorials, education, data-science
- platform: python, cross-platform
- tags: python-tutorial, beginner-friendly, chinese-language, self-paced-learning, curriculum

## Member repositories
- jackfrued/Python-100-Days (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:28.345965+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 2026-08-29T16:10:41.509784+00:00, confidence not recorded.
  - readme: https://github.com/jackfrued/Python-100-Days (fetched 2026-08-28T04:12:28.345965+00:00, sha e7c37fdedcf5)
- Data as of 2026-08-30T08:39:29.467469+00:00.