Think Python

B., Downey Allen:

ISBN 10: 144933072X / ISBN 13: 9781449330729

Published by O'Reilly and Associates 29.08.2012., 2012

About this Item

296 Seiten Gutes Exemplar, geringe Gebrauchsspuren, Cover/SU berieben/bestoßen, innen alles in Ordnung; Good copy, light signs of previous use, cover/dust jacket shows some rubbing/wear, interior in good condition A221223ah52 ISBN: 9781449330729 Sprache: Englisch Gewicht in Gramm: 495.

Seller Inventory # 643065

Bibliographic Details

• Title: Think Python
• Publisher: O'Reilly and Associates 29.08.2012.
• Publication Date: 2012
• Language: English
• ISBN 10: 144933072X
• ISBN 13: 9781449330729
• Binding: Softcover
• Edition: Auflage: 1.
• Condition: Gut
• Weight: 495 grams
• Seller catalogs:
  • Computer/Multimedia

About this title

Synopsis

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 one step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design.

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.

• Start with the basics, including language syntax and semantics
• Get a clear definition of each programming concept
• Learn 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 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 Master’s and Bachelor’s degrees from MIT.