Probability and Statistics for Programmers
by Allen B. Downey, published by O'Reilly Media.
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Think Stats is an introduction to Probability and Statistics
for Python programmers.
Think Stats emphasizes
simple techniques you can use to explore real data sets and answer
The book presents a case study using data from the National Institutes
of Health. Readers are encouraged to work on a project with real datasets.
- If you have basic skills in Python, you can use them to learn
concepts in probability and statistics.
Think Stats is based on a Python library for probability
distributions (PMFs and CDFs). Many of the exercises use short
programs to run experiments and help readers develop understanding.
Most introductory books don't cover Bayesian statistics, but
Think Stats is based on the idea that Bayesian methods are
too important to postpone. By taking advantage of the PMF and CDF
libraries, it is possible for beginners to learn the concepts and
solve challenging problems.
This book is under
Commons Attribution-NonCommercial 3.0 Unported License, which means
that you are free to copy, distribute, and modify it, as long as you
attribute the work and don't use it for commercial purposes.
Other Free Books by Allen Downey are available from
Green Tea Press.
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