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Python for Software Design
How to Think Like a Computer Scientist

$46.00 (Z)

textbook
  • Date Published: March 2009
  • availability: In stock
  • format: Paperback
  • isbn: 9780521725965

$46.00 (Z)
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About the Authors
  • 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. 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.

    • No-nonsense style, perfect for beginning undergraduates and first-time programmers
    • Difficult concepts explained in bite-size portions
    • Lots of exercises, from short examples to substantial projects, with solutions and example code available from www.thinkpython.com
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    Reviews & endorsements

    "I very much like Python for Software Design. I hope that instructors in computational science will learn some pedagogical lessons from it. Repeatedly, the book showed code that was simply readable. The feature, its rationale, its uses, and debugging hints are together for collective reference (like an object?). And ideas are repeated as they naturally reappear. Is that how computer scientists think? I don't know. But if that's how they teach, they're doing a fine job. When trying to teach the more difficult ideas of floating point errors, control of step size, mesh refinement, and parallel programming, computational scientists could learn something from Python for Software Design.
    Dan Nagle, Scientific Programming

    "... the book offers plenty of examples, very helpful explanations, and useful illustrations."
    F.H. Wild III, Choice Magazine

    "Downey successfully presents the programming language Python. The author provides details of Python in a cogent fashion, enabling a novice in programming to cover the material with relative ease. Downey succeeds in fulfilling his four goals, stated in the preface."
    N. Chakrapani, reviews.com

    "It is short and well written, it follows a very smooth progression, and its companion web Site is very good."
    O. Lecarme, reviews.com

    "a book that is nearly free from technical bugs; explains concepts in clear, readable prose; contains helpful illustrations; and integrates activities to engage its readers."
    Max Hailperin, Computing in Science and Engineering

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    Product details

    • Date Published: March 2009
    • format: Paperback
    • isbn: 9780521725965
    • length: 270 pages
    • dimensions: 253 x 178 x 14 mm
    • weight: 0.47kg
    • contains: 25 b/w illus. 118 exercises
    • availability: In stock
  • Table of Contents

    1. Preface
    2. The way of the program
    3. Variables, expressions and statements
    4. Functions
    5. Case study: interface design
    6. Conditionals and recursion
    7. Fruitful functions
    8. Iteration
    9. Strings
    10. Case study: word play
    11. Lists
    12. Dictionaries
    13. Tuples
    14. Case study: data structure selection
    15. Files
    16. Classes and objects
    17. Classes and functions
    18. Classes and methods
    19. Inheritance
    20. Case study: Tkinter
    Appendix 1: debugging.

  • Author

    Allen B. Downey, Olin College of Engineering, Massachusetts
    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.

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