Gary Sutton

Gary Sutton has built and led high-performing business intelligence and analytics organizations across multiple verticals, where R was the preferred programming language for statistical analysis, predictive modeling, and other quantitative insights. Mr. Sutton earned his undergraduate degree from the University of Southern California, a master’s from George Washington University, and a second master’s, in data science, from Northwestern University. He is an avid reader, former Ironman triathlete, and former basketball player.

books by Gary Sutton

Statistics Every Programmer Needs
  • MEAP began April 2025
  • Last updated May 2025
  • Publication in August 2025 (estimated)
  • ISBN 9781633436053
  • 375 pages (estimated)
Included with a Manning Online subscription
  • printed in black & white

Statistics Every Programmer Needs teaches the nuts and bolts of applying statistics to the everyday problems you’ll face as a software developer. Each self-contained chapter provides a complete and comprehensive tutorial on a specific quantitative technique. Well-annotated and reusable Python code listings illustrate each method, with examples you can follow to practice your new skills.

You’ll predict ultramarathon split times using linear regression, identify raisin types from morphological features, forecast stock prices using time series models, analyze system reliability using Markov chains, and much more. You’ll not only learn how to use each method, but why it works, and how to explain your results. Whatever your field, you’ll soon be ready to model uncertainty, optimize resources, forecast outcomes, and assess risk with mathematical precision.

Statistics Slam Dunk
  • January 2024
  • ISBN 9781633438682
  • 672 pages
Included with a Manning Online subscription
  • printed in black & white
catalog / Data Science / Miscellaneous

Is losing basketball games on purpose a rational strategy? Which hustle statistics have an impact on wins and losses? Does spending more on player salaries translate into a winning record? You’ll answer all these questions and more. Plus, R’s visualization capabilities shine through in the book’s 300 plots and charts, including Pareto charts, Sankey diagrams, Cleveland dot plots, and dendrograms.