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How to Think Like a Computer Scientist: Learning with Python
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  • Title How to Think Like a Computer Scientist: Learning with Python
  • Author(s) Allen Downey, Jeffrey Elkner and Chris Meyers
  • Publisher: Green Tea Press (January 4, 2002)
  • Paperback 288 pages
  • eBook HTML and PDF
  • 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.

About the Authors
  • 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 Masterís and Bachelorís 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.
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