# exercism/python

Exercism exercises in Python.

Repository: https://github.com/exercism/python
Canonical: https://ross.abutalabs.com/products/exercism-python
Homepage: https://exercism.org/tracks/python
Language: Python
License: MIT
License Family: permissive
Topics: exercism-track, community-contributions-paused, maintained-autonomous
Last push: 2026-08-10T05:26:26+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 35, longevity 100
- inputs: {"age_days": 4569, "days_push": 23, "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 2474, forks 1522 (observed 2026-08-28T04:06:54.939183+00:00)

## What it is
The Exercism Python track repository containing all exercises, instructions, tests, and support files for learning Python on exercism.org. Exercises are organized into concept exercises following a syllabus and open-ended practice exercises.

## Use cases
- learn python from scratch
- practice python coding exercises
- improve python skills with guided syllabus
- find python practice problems
- prepare for python coding interviews
- teach myself python programming

## When to choose
- you want structured, mentored Python practice exercises
- you prefer learning through a syllabus-driven concept tree
- you want free hands-on coding practice with automated test feedback

## When to avoid
- you want to contribute exercises or fixes - community contributions are currently paused
- you need a full Python course with video lectures
- you want project-based learning rather than small exercises

## Facets
- artifact type: learning-resource
- maturity: active
- function: testing
- domain: education, programming-languages, tutorials
- platform: python, cross-platform
- tags: exercism, python-exercises, coding-practice, learning-track, mentoring, education

## Member repositories
- exercism/python (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:54.939183+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 2026-08-30T02:28:25.784739+00:00, confidence not recorded.
  - readme: https://github.com/exercism/python (fetched 2026-08-28T04:06:54.939183+00:00, sha 0bfa30072701)
- Data as of 2026-08-30T08:39:29.467469+00:00.