How to Think Like a Computer Scientist: Learning with...

How to Think Like a Computer Scientist: Learning with Python 3

Peter Wentworth, Jeffrey Elkner, Allen B. Downey, Chris Meyers
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This book owes its existence to the collaboration made possible by the Internet and the free software movement. Its three authors—a college professor, a high school teacher, and a professional programmer—never met face to face to work on it, but we have been able to collaborate closely, aided by many other folks who have taken the time and energy to send us their feedback. We think this book is a testament to the benefits and future possibilities of this kind of collaboration, the framework for which has been put in place by Richard Stallman and the Free Software Foundation.

Contents:
1 The way of the program
2 Variables, expressions, and statements
3 Hello, little turtles!
4 Functions
5 Conditionals
6 Fruitful functions
7 Iteration
8 Strings
9 Tuples
10 Event handling
11 Lists
12 Modules
13 Files
14 List Algorithms
15 Classes and Objects - the Basics
16 Classes and Objects - Digging a little deeper
17 PyGame
18 Recursion
19 Exceptions
20 Dictionaries
21 Even more OOP
22 Collections of Objects
23 Inheritance
24 Linked Lists
25 Stacks
26 Queues
27 Trees
Appendix A Debugging
Appendix B An odds-and-ends Workbook
Appendix C Configuring Ubuntu for Python Development
Appendix D Customizing and Contributing to the Book
Appendix E Some Tips, Tricks, and Common Errors
GNU Free Document License

年:
2012
版本:
3rd
語言:
english
文件:
PDF, 2.67 MB
IPFS:
CID , CID Blake2b
english, 2012
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