# jerry-git/learn-python3

Jupyter notebooks for teaching/learning Python 3

Repository: https://github.com/jerry-git/learn-python3
Canonical: https://ross.abutalabs.com/products/learn-python3
Language: HTML
License: MIT
License Family: permissive
Topics: teaching-materials, python3, jupyter-notebook, learning-python, python-exercises
Last push: 2024-01-04T17:13:22+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": 3046, "days_push": 972, "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 6857, forks 1843 (observed 2026-08-28T04:09:50.933815+00:00)

## What it is
A collection of Jupyter notebooks for teaching and learning Python 3 (3.10+), covering beginner through intermediate topics with accompanying exercises. Materials can be run locally with Jupyter or interactively in the cloud via Binder.

## Use cases
- learn python 3 from scratch
- python exercises for beginners
- teach a python course with notebooks
- practice python strings lists conditionals
- interactive python tutorial in jupyter
- python learning materials for self-study

## When to choose
- you want hands-on, runnable Python lessons with exercises
- you prefer Jupyter-based interactive learning
- you need ready-made teaching material for a Python course

## When to avoid
- you need Python 3.9 or older compatibility
- you want video-based or non-notebook tutorials
- you need advanced or expert-level Python topics

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, programming-languages, tutorials
- platform: python, browser, cross-platform
- tags: jupyter-notebooks, python3, exercises, teaching-materials, beginner-friendly

## Member repositories
- jerry-git/learn-python3 (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:50.933815+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 2026-08-29T17:41:44.306185+00:00, confidence not recorded.
  - readme: https://github.com/jerry-git/learn-python3 (fetched 2026-08-28T04:09:50.933815+00:00, sha ac5b7dbd9075)
- Data as of 2026-08-30T08:39:29.467469+00:00.