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Think Python: How to Think Like a Computer Scientist

Think Python: How to Think Like a Computer Scientist

Think Python: How to Think Like a Computer Scientist
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Think Python: How to Think Like a Computer Scientist Paperback - 2015

by Downey, Allen B

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O'Reilly, 2015-12-28. 2. paperback. New. 7.01x0.61x9.17. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Think Python: How to Think Like a Computer Scientist
  • Author Downey, Allen B
  • Binding Paperback
  • Edition 2
  • Condition New
  • Pages 289
  • Volumes 1
  • Language ENG
  • Publisher O'Reilly, Beijing
  • Publication date 2015-12-28
  • Bookseller's Inventory # DADAX1491939362
  • ISBN 9781491939369 / 1491939362
  • Weight 1.04 lbs (0.47 kg)
  • Dimensions 9.19 x 7 x 0.61 in (23.34 x 17.78 x 1.55 cm)
  • Size 7.01x0.61x9.17
  • Category Computers - Languages / Programming
  • Library of Congress subjects Python (Computer program language), Computer programming
  • Dewey Decimal Code 005.133
  • Quantity available 1

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From the publisher

If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3.

Through exercises in each chapter, you ll try out programming concepts as you learn them. Think Python 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.

  • Start with the basics, including language syntax and semantics
  • Get a clear definition of each programming concept
  • Learn about values, variables, statements, functions, and data structures in a logical progression
  • Discover how to work with files and databases
  • Understand objects, methods, and object-oriented programming
  • Use debugging techniques to fix syntax, runtime, and semantic errors
  • Explore interface design, data structures, and GUI-based programs through case studies

About the author

Allen Downey is a Professor of Computer Science at Olin College of Engineering. He has taught 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.

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