Think Stats: Probability and Statistics for Programmers

Think Stats: Probability and Statistics for Programmers is a book written by Allen B. Downey, which provides an introduction to probability and statistics for computer programmers. The book is designed to help programmers understand and apply statistical methods to real-world data.

The book covers a range of topics, including basic probability concepts, descriptive statistics, probability distributions, hypothesis testing, Bayesian statistics, correlation, and regression. It uses Python programming language to teach these concepts, with examples and exercises throughout the book.

If you have basic skills in Python, you can implement them to learn concepts in probability and statistics and practical skills for working with data.

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.

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