This book introduces the statistical and quantitative methods that will help programmers go beyond “gut feeling” for tasks like predicting stock prices or assessing quality control, with examples using the rich tools of the Python ecosystem. Gary Sutton blends the theory behind these statistical techniques with practical Python-based applications, offering structured, reproducible, and defensible methods for tackling complex decisions.

<ASIN: 1633436055>

Author: Gary Sutton
Publisher: Manning
Date: September 2025
Pages: 448
ISBN: 978-1633436053
Print: 1633436055
Kindle: B0FJYLPWLT
Audience: Python developers
Level: Intermediate
Category: Data Science

Topics include:

• Apply foundational and advanced statistical techniques
• Build predictive models and simulations
• Optimize decisions under constraints
• Interpret and validate results with statistical rigor
• Implement quantitative methods using Python

For recommendations of books on data science see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

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