# AllenDowney/ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

Repository: https://github.com/AllenDowney/ThinkStats2
Canonical: https://ross.abutalabs.com/products/thinkstats2
Homepage: http://allendowney.github.io/ThinkStats2/
Language: Jupyter Notebook
License: GPL-3.0
License Family: copyleft
Last push: 2025-01-23T18:18:02+00:00

## Health v2 (maintenance only)
Score: 34/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 3, release rhythm 35, longevity 100
- inputs: {"age_days": 4500, "days_push": 587, "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 4227, forks 11306 (observed 2026-08-28T04:08:39.372044+00:00)

## What it is
The text and supporting Jupyter notebook code for Think Stats, 2nd Edition, a book teaching probability and statistics to Python programmers. It includes per-chapter exercise notebooks with solutions runnable on Colab, using real datasets for exploratory data analysis.

## Use cases
- learn statistics with python
- learn probability and data science from a book
- find statistics exercises with solutions in jupyter notebooks
- teach an introductory statistics course using python
- practice exploratory data analysis on real datasets

## When to choose
- you know basic Python and want to learn statistics through code
- you want a free, openly licensed textbook with runnable notebooks
- you prefer learning via experiments and case studies on real data

## When to avoid
- you need a production statistics library rather than learning material
- you want advanced or graduate-level statistical theory
- you don't use Python or notebooks

## Facets
- artifact type: learning-resource
- maturity: stable
- function: data-science, math, developer-tools
- domain: data-science, education, tutorials
- platform: python, cross-platform
- tags: statistics, probability, jupyter-notebooks, textbook, exploratory-data-analysis, web

## Member repositories
- AllenDowney/ThinkStats2 (main) score 34

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:39.372044+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 2026-08-29T18:22:22.063879+00:00, confidence not recorded.
  - readme: https://github.com/AllenDowney/ThinkStats2 (fetched 2026-08-28T04:08:39.372044+00:00, sha f7423916407e)
  - homepage: http://allendowney.github.io/ThinkStats2/ (fetched 2026-08-29T09:12:22.981251+00:00, sha edec4ecb704a)
- Data as of 2026-08-30T08:39:29.467469+00:00.