• Title How to Think Like a Computer Scientist: Learning with Python 3 Documentation
• Author(s) Allen B. Downey, Jeffrey Elkner, Peter Wentworth, and Chris Meyers
• Publisher: Green Tea Press (2002); eBook (GNU Edition, ReadTheDocs.org, Apr 17, 2020)
• License(s): GNU Free Documentation License
• Paperback 288 pages
• eBook HTML, PDF (384 pages), and PostScript
• Language: English
• ISBN-10: 0971677506
• ISBN-13: 978-0971677500
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Book Description

This book is an introduction to computer science using the Python programming language. It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging. Later chapters cover basic algorithms and data structures.

Through exercises in each chapter, you’ll try out programming concepts as you learn them. This book is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser.

• Allen Downey is an Associate Professor of Computer Science at the Olin College of Engineering. He has taught computer science at Wellesley College, Colby College and U.C. Berkeley. He has a Ph.D. in Computer Science from U.C. Berkeley and Master's and Bachelor's degrees from MIT.
  He has written several books, including Computational Modeling and Complexity Science, How to Think Like a Computer Scientist, The Little Book of Semaphores, Physical Modeling in MATLAB, and Learning Perl the Hard Way.

• Amazon

• Python Programming
• Data Structures and Algorithms
• Introduction to Computer Science
• Books by Allen B. Downey

• How to Think Like a Computer Scientist: Learning with Python 3 Documentation
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