How to Think Like a Computer Scientist: Learning with Python

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"How to Think Like a Computer Scientist: Learning with Python" 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. *** Published under the terms of the GNU Free Documentation License. Money raised from the sale of this book supports the development of free software and documentation.

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About the author (2009)

Allen B. Downey is an Associate Professor of Computer Science at the Franklin W. Olin College of Engineering. 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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