Think Bayes 2 is the companion repository for the second edition of Allen B. Downey’s introduction to Bayesian statistics. It teaches Bayesian reasoning through computational methods instead of relying mainly on symbolic mathematics. Each chapter is presented as a Jupyter notebook where readers can study the text, run examples, and complete exercises. Separate solution materials help learners check their work and explore alternative approaches. The lessons cover probability distributions, Bayesian updating, estimation, prediction, comparison, and decision-making. Notebooks can run in Google Colab or be downloaded for local use. The repository also contains book sources, supporting code, and environment files for reproducible study.

Features

  • Chapter-by-chapter Jupyter notebooks
  • Executable Bayesian examples and exercises
  • Separate notebooks with exercise solutions
  • Google Colab and local execution options
  • Downloadable notebook archive
  • Book sources and reproducible environment files

Project Samples

Project Activity

See All Activity >

Categories

Libraries

License

MIT License

Follow Think Bayes 2

Think Bayes 2 Web Site

Other Useful Business Software
Our Free Plans just got better! | Auth0 Icon
Our Free Plans just got better! | Auth0

With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Try free now
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Think Bayes 2!

Additional Project Details

Programming Language

Python

Related Categories

Python Libraries

Registered

2026-07-10