# bslatkin/effectivepython

Effective Python: Third Edition — Source Code and Errata for the Book

Repository: https://github.com/bslatkin/effectivepython
Canonical: https://ross.abutalabs.com/products/effectivepython
Homepage: https://effectivepython.com
Language: Python
License Family: other
Last push: 2024-12-10T23:46:06+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": 4400, "days_push": 631, "days_rel": 688, "gap_med": null, "n_releases_24m": 1}
- 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 2472, forks 753 (observed 2026-08-28T04:06:54.729759+00:00)

## What it is
The official source code and errata repository for the book 'Effective Python: Third Edition' by Brett Slatkin. It contains runnable example code for all 125 items covering Pythonic best practices.

## Use cases
- learn python best practices from the effective python book
- run example code snippets from effective python third edition
- check errata for errors in the effective python book
- study idiomatic pythonic coding patterns
- find companion code for a python book I'm reading

## When to choose
- you own or plan to read Effective Python Third Edition and want its companion code
- you want curated, runnable examples of Python best practices
- you need to verify or report errata for the book

## When to avoid
- you want a general-purpose Python library or framework to install
- you need a standalone Python tutorial not tied to a book
- you expect a maintained software tool with a license and releases

## Facets
- artifact type: learning-resource
- maturity: stable
- function: developer-tools
- domain: programming-languages, tutorials, developer-tools
- platform: python, cross-platform
- tags: book, python-best-practices, source-code, errata, educational

## Member repositories
- bslatkin/effectivepython (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:54.729759+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 2026-08-30T02:28:32.308329+00:00, confidence not recorded.
  - readme: https://github.com/bslatkin/effectivepython (fetched 2026-08-28T04:06:54.729759+00:00, sha 0cf6956ddba0)
  - homepage: https://effectivepython.com (fetched 2026-08-29T10:10:51.173546+00:00, sha a3c26f456c9c)
- Data as of 2026-08-30T08:39:29.467469+00:00.
