Python for Software Design

How to Think Like a Computer Scientist

Nonfiction, Computers, Programming, Programming Languages, General Computing
Cover of the book Python for Software Design by Allen B.  Downey, Cambridge University Press
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Author: Allen B. Downey ISBN: 9781139637855
Publisher: Cambridge University Press Publication: March 9, 2009
Imprint: Cambridge University Press Language: English
Author: Allen B. Downey
ISBN: 9781139637855
Publisher: Cambridge University Press
Publication: March 9, 2009
Imprint: Cambridge University Press
Language: English

A no-nonsense introduction to software design using the Python programming language. Written for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. Some of the ideas students find most challenging, like recursion and object-oriented programming, are divided into a sequence of smaller steps and introduced over the course of several chapters. The focus is on the programming process, with special emphasis on debugging. The book includes a wide range of exercises, from short examples to substantial projects, so that students have ample opportunity to practise each new concept. Exercise solutions and code examples are available from thinkpython.com, along with Swampy, a suite of Python programs that is used in some of the exercises.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

A no-nonsense introduction to software design using the Python programming language. Written for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. Some of the ideas students find most challenging, like recursion and object-oriented programming, are divided into a sequence of smaller steps and introduced over the course of several chapters. The focus is on the programming process, with special emphasis on debugging. The book includes a wide range of exercises, from short examples to substantial projects, so that students have ample opportunity to practise each new concept. Exercise solutions and code examples are available from thinkpython.com, along with Swampy, a suite of Python programs that is used in some of the exercises.

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