# ndleah/python-mini-project

🙌 Welcome open-source Python mini-project contributions!

Repository: https://github.com/ndleah/python-mini-project
Canonical: https://ross.abutalabs.com/products/python-mini-project
Language: Python
License: MIT
License Family: permissive
Topics: python, python-mini-projects, data-science, data-visualization, data-analysis, newbie-friendly, newbie-code, python-project-beginner, python-programming-exercises
Last push: 2024-08-16T21:05:01+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": 1874, "days_push": 747, "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 4367, forks 1793 (observed 2026-08-28T04:08:46.693147+00:00)

## What it is
A curated collection of small, beginner-friendly Python mini-projects aimed at helping newcomers practice programming and data science skills. It also serves as a welcoming playground for first-time open-source contributors to learn GitHub workflows.

## Use cases
- find easy python projects to practice as a beginner
- learn python by building small scripts
- make my first open source contribution on github
- practice data analysis and visualization with python
- get project ideas for learning python
- improve python programming skills with exercises

## When to choose
- you are new to Python and want small, approachable project examples
- you want a low-pressure repo to practice forking, pull requests, and contributing
- you want inspiration for beginner-level data science or scripting projects

## When to avoid
- you need production-ready, maintained libraries or tools
- you are looking for advanced, structured curriculum or tutorials with assessments
- you need a single cohesive application rather than a grab-bag of scripts

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, data-science, data-visualization
- domain: education, data-science, programming-languages, tutorials
- platform: python, cross-platform
- tags: beginner-friendly, mini-projects, open-source-contribution, exercises, learning-by-doing

## Member repositories
- ndleah/python-mini-project (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:46.693147+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 2026-08-29T18:21:24.534725+00:00, confidence not recorded.
  - readme: https://github.com/ndleah/python-mini-project (fetched 2026-08-28T04:08:46.693147+00:00, sha 6ccae8ca618e)
- Data as of 2026-08-30T08:39:29.467469+00:00.