- Häftad (Paperback)
- Antal sidor
- CAMBRIDGE U.P.
- Allen B., Downey
- 25 line figures 118 exercises
- 265 x 177 x 15 mm
- Antal komponenter
- 500 g
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Python for Software Design Paperback
How to Think Like a Computer Scientist
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"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
Bloggat om Python for Software Design Paperback
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 Wellesly 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.
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.