# rainyear/python3-in-one-pic

Learn python3 in one picture.

Repository: https://github.com/rainyear/python3-in-one-pic
Canonical: https://ross.abutalabs.com/products/python3-in-one-pic
Homepage: https://git.io/Coo-py3
Language: Jupyter Notebook
License: MIT
License Family: permissive
Last push: 2022-05-28T22:42:15+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": 4084, "days_push": 1558, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5008, forks 965 (observed 2026-08-28T04:09:04.585802+00:00)

## What it is
A visual cheat sheet that teaches Python 3 fundamentals in a single picture, accompanied by an IPython notebook covering syntax, datatypes, flow control, functions, classes, and modules. It is a learning reference rather than a software tool.

## Use cases
- learn python 3 basics quickly
- python syntax cheat sheet
- review python data types and control flow
- beginner python reference with notebook examples
- visual overview of python oop and decorators

## When to choose
- you want a quick visual refresher on Python 3 fundamentals
- you are a beginner learning core Python syntax
- you prefer notebook-based examples alongside a cheat sheet

## When to avoid
- you need in-depth tutorials or advanced Python topics
- you want an actively updated resource covering modern Python versions
- you need executable tooling rather than learning material

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: programming-languages, tutorials, education
- platform: python, cross-platform
- tags: cheatsheet, python3, jupyter-notebook, visual-learning, reference

## Member repositories
- rainyear/python3-in-one-pic (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:04.585802+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 2026-08-29T18:17:34.067042+00:00, confidence not recorded.
  - readme: https://github.com/rainyear/python3-in-one-pic (fetched 2026-08-28T04:09:04.585802+00:00, sha ac14f01058df)
- Data as of 2026-08-30T08:39:29.467469+00:00.