9781491939369-1491939362-Think Python: How to Think Like a Computer Scientist

Think Python: How to Think Like a Computer Scientist

ISBN-13: 9781491939369
ISBN-10: 1491939362
Edition: 2
Author: Allen Downey
Publication date: 2016
Publisher: O'Reilly Media
Format: Paperback 289 pages
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Book details

ISBN-13: 9781491939369
ISBN-10: 1491939362
Edition: 2
Author: Allen Downey
Publication date: 2016
Publisher: O'Reilly Media
Format: Paperback 289 pages

Summary

Think Python: How to Think Like a Computer Scientist (ISBN-13: 9781491939369 and ISBN-10: 1491939362), written by authors Allen Downey, was published by O'Reilly Media in 2016. With an overall rating of 4.3 stars, it's a notable title among other Computer Science books. You can easily purchase or rent Think Python: How to Think Like a Computer Scientist (Paperback, Used) from BooksRun, along with many other new and used Computer Science books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $9.8.

Description

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
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