# digitalinnovationone/trilha-python-dio

Repository: https://github.com/digitalinnovationone/trilha-python-dio
Canonical: https://ross.abutalabs.com/products/trilha-python-dio
Language: Python
License Family: other
Last push: 2024-08-18T21:58:21+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": 1480, "days_push": 745, "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 5096, forks 7097 (observed 2026-08-28T04:09:09.690781+00:00)

## What it is
A Python learning track (trilha) repository from Digital Innovation One containing educational materials and exercises for learning Python. It serves as structured course content rather than a software tool.

## Use cases
- learn python from scratch
- find structured python exercises
- follow a python study roadmap
- practice python programming basics
- supplement python courses with hands-on material

## When to choose
- you are a beginner wanting a guided Python learning path
- you want free structured exercises to practice Python
- you are following DIO courses and need the accompanying materials

## When to avoid
- you need a production-ready Python library or tool
- you are looking for advanced or specialized Python topics
- you need maintained software with a license for commercial use

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: tutorials, programming-languages, education
- platform: python, cross-platform
- tags: python-course, learning-path, dio, beginner-friendly, educational-content

## Member repositories
- digitalinnovationone/trilha-python-dio (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:09.690781+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 2026-08-29T18:02:14.263646+00:00, confidence not recorded.
  - readme: https://github.com/digitalinnovationone/trilha-python-dio (fetched 2026-08-28T04:09:09.690781+00:00, sha 1133ac7be9be)
- Data as of 2026-08-30T08:39:29.467469+00:00.