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Think Java: How to Think Like a Computer Scientist

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by Allen B. Downey & Chris Mayfield
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Think Java: How to Think Like a Computer Scientist by Allen B. Downey & Chris Mayfield

Currently used at many colleges, universities, and high schools, this hands-on introduction to computer science is ideal for people with little or no programming experience. The goal of this concise book is not just to teach you Java, but to help you think like a computer scientist. You??ll learn how to program??"a useful skill by itself??"but you??ll also discover how to use programming as a means to an end.

Authors Allen Downey and Chris Mayfield start with the most basic concepts and gradually move into topics that are more complex, such as recursion and object-oriented programming. Each brief chapter covers the material for one week of a college course and includes exercises to help you practice what you??ve learned.

  • Learn one concept at a time: tackle complex topics in a series of small steps with examples
  • Understand how to formulate problems, think creatively about solutions, and write programs clearly and accurately
  • Determine which development techniques work best for you, and practice the important skill of debugging
  • Learn relationships among input and output, decisions and loops, classes and methods, strings and arrays
  • Work on exercises involving word games, graphics, puzzles, and playing cards

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Ebook Details
Pages: 252
Size: 5.6 MB
Publisher: O'Reilly Media
Date published:   2016
ISBN: 9781491929513 (DRM-EPUB)
9781491929537 (DRM-PDF)

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This product is listed in the following categories:

Nonfiction > Computers > Computer Science
Nonfiction > Computers > Programming
Nonfiction > Computers > Programming Languages > Java

These authors have products in the following categories:

Nonfiction > Computers > Programming Languages
Nonfiction > Computers
Nonfiction > Computers > Programming
Nonfiction > Computers > Programming Languages > Python
Nonfiction > Computers > Data Modeling & Design
Nonfiction > Computers > Data Processing
Nonfiction > Mathematics > Probability & Statistics > Bayesian Analysis
Nonfiction > Technology > Signals & Signal Processing
Nonfiction > Computers > Computer Science
Nonfiction > Computers > Programming Languages > Java

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