Python for Software Design - Downey, Allen B.

Allen B. Downey 

Python for Software Design

How to Think Like a Computer Scientist

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Python for Software Design

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.

Produktinformation
  • Verlag: Cambridge University Press
  • 2011
  • Ausstattung/Bilder: 2009. 270 S. 25 b/w illus. 118 exercises. 253 mm
  • Englisch
  • Abmessung: 19mm x 180mm x 256mm
  • Gewicht: 470g
  • ISBN-13: 9780521725965
  • ISBN-10: 0521725968
  • Best.Nr.: 26033666
'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
'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
Allen B. Downey is an Associate Professor of Computer Science at the Olin College of Engineering. He has taught computer science at Wellesley College, Colby College and U.C. Berkeley. He has a Ph.D. in Computer Science from U.C. Berkeley and Master s and Bachelor s degrees from MIT.

Inhaltsangabe

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.
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