Python for Software Design : How to Think Like a Computer Scientist - Allen B. Downey

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Python for Software Design

How to Think Like a Computer Scientist

By: Allen B. Downey

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Hardcover | 9 March 2009

At a Glance

Hardcover
270 Pages

Dimensions(cm)
18.6 x 26.0 x 2.3

Hardcover

RRP $155.95

$154.75

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Python for Software Design is a concise introduction to software design using the Python programming language.

Intended 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 practice each new concept.

About the Author

Allen B. Downey, Ph.D., is an Associate Professor of Computer Science at the Olin College of Engineering in Needham, Massachusetts. He has taught at Wellesley College, Colby College, and UC Berkeley. He has a doctorate in computer science from UC Berkeley and a Master's degree from MIT. Dr Downey is the author of a previous version of this book, titled How to Think Like a Computer Scientist : Learning with Python , which he self-published in 2001.

Industry Reviews

'I liked this book. The presentation is neat and clean, I might even say cheerful. And I learned a lot, not least of all where higher level languages are going, and the terminology used to express that. ... I liked the pace of presentation. I liked the constant stirring of topics: a new feature, a hint on debugging, a few words on programming style, some thoughts on programming principles, then on to the next new feature. It really is a nice mix. If one is writing a textbook on scientific programming (rather than computer science as this one is), one could well learn some style tips here.' Scientific Programming '... explains concepts in clear, readable prose; contains helpful illustrations; and integrates activities to engage its readers.' Computing in Science and Engineering

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Preface
The way of the program
Variables, expressions and statements
Functions
Case study: interface design
Conditionals and recursion
Fruitful functions
Iteration
Strings
Case study: word play
Lists
Dictionaries
Tuples
Case study: data structure selection
Files
Classes and objects
Classes and functions
Classes and methods
Inheritance
Case study: Tkinter
debugging

Python for Software Design

How to Think Like a Computer Scientist

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

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