# joaoventura/full-speed-python

Full Speed Python: a book for self-learners

Repository: https://github.com/joaoventura/full-speed-python
Canonical: https://ross.abutalabs.com/products/full-speed-python
Language: Makefile
License Family: other
Topics: python, books, learning-by-doing, learning-python
Last push: 2023-03-28T11:38:13+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3089, "days_push": 1254, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4068, forks 588 (observed 2026-08-28T04:08:34.153550+00:00)

## What it is
Full Speed Python is a free open-source book that teaches the Python programming language through practical exercises. The repository contains the book's source, buildable to PDF and EPUB via pandoc and LaTeX.

## Use cases
- learn python from scratch
- python exercises for beginners
- self-study python book
- teach python in a class
- free python ebook pdf epub
- practice python syntax quickly

## When to choose
- you want an exercise-driven, hands-on introduction to Python
- you need a free downloadable PDF/EPUB book for self-learning
- you're an instructor looking for ready-made Python exercises

## When to avoid
- you need comprehensive reference documentation rather than a short introductory book
- you want video tutorials or interactive coding platforms
- you need advanced or up-to-date Python topics, as the book is no longer actively updated

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: programming-languages, education, tutorials
- platform: python, cross-platform
- tags: python-book, exercises, self-learning, ebook, pandoc

## Member repositories
- joaoventura/full-speed-python (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:34.153550+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 2026-08-29T18:23:32.375966+00:00, confidence not recorded.
  - readme: https://github.com/joaoventura/full-speed-python (fetched 2026-08-28T04:08:34.153550+00:00, sha bc9c0792e13d)
- Data as of 2026-08-30T08:39:29.467469+00:00.