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Preface Preface

Think Bayes is an introduction to Bayesian statistics using computational methods. This book uses Python code instead of mathematical notation to explain Bayesian statistical concepts.
The premise of this book, and the other books in the Think X series, is that if you know how to program, you can use that skill to learn other topics. By using code to explore statistical concepts, you can develop your intuition and test your understanding.
This is a PreTeXt adaptation of Think Bayes 2 by Allen B. Downey. The original book and its Jupyter notebooks are freely available at allendowney.github.io/ThinkBayes2, and the source is hosted on GitHub. All credit for the content of this book belongs to Allen B. Downey.