# ZiniuLu/Python-100-Days

出处：https://github.com/jackfrued/Python-100-Days.git

Repository: https://github.com/ZiniuLu/Python-100-Days
Canonical: https://ross.abutalabs.com/products/ziniulu-python-100-days
Language: Python
License Family: other
Last push: 2020-10-01T07:20:35+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": 3004, "days_push": 2162, "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 3816, forks 1163 (observed 2026-08-28T04:08:20.927246+00:00)

## What it is
A 100-day structured Python learning curriculum that takes learners from beginner to advanced, covering language basics, data structures, OOP, and applied topics like web development, data analysis, and machine learning. It is a fork of the popular jackfrued/Python-100-Days repository, with content written primarily in Chinese.

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

## When to choose
- you want a day-by-day guided path from zero to job-ready Python
- you prefer Chinese-language learning materials
- you want exercises and projects bundled with lessons

## When to avoid
- you need an actively maintained course with recent updates
- you only read English
- you need official documentation rather than a tutorial

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: tutorials, programming-languages, education
- platform: cross-platform, python
- tags: python-tutorial, beginner-friendly, 100-days, chinese-language, curriculum, self-study

## Member repositories
- ZiniuLu/Python-100-Days (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:20.927246+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 2026-08-29T18:26:32.484964+00:00, confidence not recorded.
  - readme: https://github.com/ZiniuLu/Python-100-Days (fetched 2026-08-28T04:08:20.927246+00:00, sha f2a751672492)
- Data as of 2026-08-30T08:39:29.467469+00:00.