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Python for software design : how to think like a computer scientist / Allen B. Downey.

By: Material type: TextTextPublication details: Cambridge ; New York : Cambridge University Press, 2009.Description: xvi, 251 p. : ill. ; 27 cmISBN:
  • 9780521898119 (hardback)
  • 0521898110 (hardback)
  • 9780521725965 (pbk.)
  • 0521725968 (pbk.)
Subject(s): DDC classification:
  • 005.133   22
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.
Summary: 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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Item type Current library Call number Copy number Status Date due Barcode
Books Books Main library General Stacks 005.133 / DO.P 2009 (Browse shelf(Opens below)) 1 Available 006319

Includes bibliographical references and index.

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.

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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