Think Python: How to Think Like a Computer Scientist
Language: English
Published by O'Reilly Media, 2016
Series: Book 5 of 7 - Learning Python
- Softcover
- Used
Condition: Used - Very good
US$ 16.29
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Complete and clean. All pages present and readable, binding intact. Highlighting or writing is absent or limited to a handful of pages. No water damage. Cover and spine may show light shelf wear, edge bumping, or minor creasing. May have a remainder mark, stickers or sticker residue, or a previous owner's name. Access codes, CDs, DVDs, and other bundled supplements may not be included and should be assumed used or missing unless the listing explicitly states otherwise.
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- Title
- Think Python: How to Think Like a Computer Scientist
- Author
- Downey, Allen B.
- Publisher
- O'Reilly Media
- Publication year
- 2016
- Condition
- Very Good
- Binding
- paperback
- Language
- English
- ISBN 10
- 1491939362
- ISBN 13
- 9781491939369
- Edition
- 2nd Edition
- Item weight
- 37 ounces
- Dimensions
- 7x0x9
- Series
- Book 5 of 7: Learning Python
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
"Synopsis" may belong to another edition of this title.
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.
"About the title" may belong to another edition of this title.
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