by Allen B. Downey
I am currently working on the third edition of Think Stats. You can read the current draft here. To support this work, please consider buying me a coffee.
Development of the third edition is happening in this GitHub repository.
In the meantime, you can read the second edition here.
Description
Think Stats is an introduction to Probability and Statistics for Python programmers. If you have basic skills in Python, you can use them to learn concepts in probability and statistics and practical skills for working with data.
- This book emphasizes simple techniques you can use to explore real data sets and answer interesting questions.
- It includes case studies using datasets from the National Institutes of Health and other sources.
- In the third edition, each chapter is available as a Jupyter notebook where you can read the text, run the code, and work on exercises.
This book is available under a Creative Commons license, which means that you are free to copy, distribute, and modify it, as long as you attribute the source and don’t use it for commercial purposes.