# Visualize-ML/Book1_Python-For-Beginners

Book_1_《编程不难》 | 鸢尾花书：从加减乘除到机器学习；请多多批评指正！

Repository: https://github.com/Visualize-ML/Book1_Python-For-Beginners
Canonical: https://ross.abutalabs.com/products/book1_python-for-beginners
Language: Jupyter Notebook
License Family: other
Last push: 2026-05-01T14:43:38+00:00

## Health v2 (maintenance only)
Score: 68/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 80, release rhythm 35, longevity 98
- inputs: {"age_days": 1385, "days_push": 124, "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 7227, forks 1419 (observed 2026-08-28T04:09:57.631608+00:00)

## What it is
Book 1 of the Iris Flower Book series, an open-source Chinese-language textbook teaching Python programming from basic arithmetic up to machine learning, delivered as Jupyter notebooks. It is part of a larger series including books on math essentials, matrices, and statistics.

## Use cases
- learn python from scratch with notebooks
- beginner python course with visual examples
- learn math and python together before machine learning
- free open textbook for programming beginners
- jupyter notebook tutorials for python basics
- self-study python leading into data science

## When to choose
- you are a complete beginner wanting to learn Python with runnable notebooks
- you prefer visual, math-grounded explanations in Chinese
- you want a free pathway from arithmetic basics to machine learning

## When to avoid
- you need an English-language textbook
- you want a structured course with graded exercises and certification
- you need production Python engineering practices rather than learning fundamentals

## Facets
- artifact type: learning-resource
- maturity: active
- function: data-science, data-visualization, machine-learning
- domain: education, data-science, machine-learning, tutorials
- platform: python, cross-platform
- tags: jupyter-notebooks, python-for-beginners, math-foundations, open-textbook, iris-book-series, chinese-language, education

## Member repositories
- Visualize-ML/Book1_Python-For-Beginners (main) score 68

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:57.631608+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 2026-08-29T17:39:47.769589+00:00, confidence not recorded.
  - readme: https://github.com/Visualize-ML/Book1_Python-For-Beginners (fetched 2026-08-28T04:09:57.631608+00:00, sha add8cc951010)
- Data as of 2026-08-30T08:39:29.467469+00:00.