# zhiwehu/Python-programming-exercises

100+ Python challenging programming exercises

Repository: https://github.com/zhiwehu/Python-programming-exercises
Canonical: https://ross.abutalabs.com/products/python-programming-exercises
License Family: other
Last push: 2026-04-06T09:50:18+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 76, release rhythm 35, longevity 100
- inputs: {"age_days": 5193, "days_push": 149, "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 29569, forks 6965 (observed 2026-08-28T04:11:53.555121+00:00)

## What it is
A collection of 100+ Python programming exercises with solutions, designed as a challenge set for learners to practice coding skills. It is a curated problem list rather than a runnable software tool.

## Use cases
- practice python programming problems
- find python exercises for beginners
- prepare for coding interviews with python
- learn python through structured challenges
- improve python problem-solving skills
- python practice problems with solutions

## When to choose
- you are learning Python and want a graded set of practice problems
- you want self-study material with exercises to attempt before viewing solutions
- you need a source of small coding challenges for teaching or mentoring

## When to avoid
- you need a runnable library, framework, or tool to install
- you want interactive auto-graded exercises rather than a static list
- you are looking for advanced or domain-specific Python projects

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, programming-languages, tutorials
- platform: python, cross-platform
- tags: python-exercises, coding-practice, beginner-friendly, problem-set, interview-prep

## Member repositories
- zhiwehu/Python-programming-exercises (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:53.555121+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 2026-08-29T16:52:58.333416+00:00, confidence not recorded.
  - readme: https://github.com/zhiwehu/Python-programming-exercises (fetched 2026-08-28T04:11:53.555121+00:00, sha deb1c0ade130)
- Data as of 2026-08-30T08:39:29.467469+00:00.