# AllenDowney/ThinkStats

Notebooks for the third edition of Think Stats

Repository: https://github.com/AllenDowney/ThinkStats
Canonical: https://ross.abutalabs.com/products/thinkstats
Homepage: https://allendowney.github.io/ThinkStats/
Language: Jupyter Notebook
License: MIT
License Family: permissive
Last push: 2026-02-13T19:53:19+00:00

## Health v2 (maintenance only)
Score: 54/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 67, release rhythm 35, longevity 57
- inputs: {"age_days": 810, "days_push": 201, "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 1048, forks 175 (observed 2026-08-28T04:03:22.350938+00:00)

## What it is
Jupyter notebooks, data files, and supplementary material for the third edition of Think Stats, a free online book introducing probability and statistics to Python programmers. The notebooks are runnable on Colab and include case studies with real datasets plus optional solutions.

## Use cases
- learn probability and statistics with python
- learn statistics for data analysis
- introductory statistics textbook with runnable notebooks
- practice exploratory data analysis on real datasets
- time series analysis tutorial in python
- teach myself statistics as a programmer

## When to choose
- you know basic Python and want to learn statistics hands-on
- you prefer runnable notebooks over dry theory
- you want free, openly licensed learning material with solutions available

## When to avoid
- you need a rigorous mathematical treatment with proofs
- you don't use Python at all
- you need a reference manual rather than a tutorial

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

## Member repositories
- AllenDowney/ThinkStats (main) score 54

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:22.350938+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 2026-08-30T07:00:34.352621+00:00, confidence not recorded.
  - readme: https://github.com/AllenDowney/ThinkStats (fetched 2026-08-28T04:03:22.350938+00:00, sha 00dd8d368b1f)
  - homepage: https://allendowney.github.io/ThinkStats/ (fetched 2026-08-29T13:02:17.774331+00:00, sha 4f18164f6675)
- Data as of 2026-08-30T08:39:29.467469+00:00.