- Format: PDF
- Publisher: The MIT Press; 3rd edition (January 5, 2021)
- Language: English
- 496 pages
- ISBN-10: 0262542366
- ISBN-13: 978-0262542364
This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including numpy, matplotlib, random, pandas, and sklearn. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data as well as substantial material on machine learning.
All of the code in the book and an errata sheet are available on the book’s web page on the MIT Press website.
“There’s no such thing as the only computer science book you’ll ever need. But if you had to pick only one, this would be a great choice.”
—Hal Abelson, coauthor (with Gerald Jay Sussman) of Structure and Interpretation of Computer Programs
“This is the ‘computational thinking’ book we have all been waiting for! With humor and historical anecdotes, John Guttag conveys the breadth and joy of computer science without compromising technical detail.”
—Jeannette M. Wing, Director of Columbia University’s Data Sciences Institute