# jarodHAN/Python-100-Days-master

python100天学习资料

Repository: https://github.com/jarodHAN/Python-100-Days-master
Canonical: https://ross.abutalabs.com/products/python-100-days-master
Language: Jupyter Notebook
License Family: other
Last push: 2023-02-07T22:20:46+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2491, "days_push": 1303, "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 1224, forks 232 (observed 2026-08-28T04:04:02.801744+00:00)

## What it is
A Chinese-language 100-day Python curriculum ('Python - 100 Days from Novice to Master') by Luo Hao, structured as daily lessons with markdown notes and Jupyter Notebook exercises. It covers Python fundamentals, data structures, web development, crawlers, data analysis, machine learning, and interview preparation.

## Use cases
- learn python from scratch
- find a structured python study plan
- practice python with daily exercises
- prepare for python developer interviews
- learn python in chinese
- transition from beginner to job-ready python developer

## When to choose
- you are a complete beginner wanting a day-by-day python roadmap
- you prefer chinese-language learning materials
- you want breadth across python domains including crawlers, data analysis, and ML basics

## When to avoid
- you need an officially maintained course with support or a license for redistribution
- you want up-to-date content, as updates have slowed since 2023
- you need english-language instruction

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: education, programming-languages, tutorials, data-science, machine-learning
- platform: cross-platform, python
- tags: python-tutorial, 100-days, chinese-language, beginner-friendly, jupyter-notebook, self-study, interview-prep

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

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:02.801744+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 2026-08-30T06:15:27.902706+00:00, confidence not recorded.
  - readme: https://github.com/jarodHAN/Python-100-Days-master (fetched 2026-08-28T04:04:02.801744+00:00, sha dfc2ad8e93bc)
- Data as of 2026-08-30T08:39:29.467469+00:00.