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How to Think Like a Computer Scientist: Learning with Python
How to Think Like a Computer Scientist: Learning with Python is an introduction to programming using Python.
Table of Contents:
- Chapter 1: The way of the program
- Chapter 2: Variables, expressions and statements
- Chapter 3: Functions
- Chapter 4: Conditionals and recursion
- Chapter 5: Fruitful functions
- Chapter 6: Iteration
- Chapter 7: Strings
- Chapter 8: Lists
- Chapter 9: Tuples
- Chapter 10: Dictionaries
- Chapter 11: Files and exceptions
- Chapter 12: Classes and objects
- Chapter 13: Classes and functions
- Chapter 14: Classes and methods
- Chapter 15: Sets of objects
- Chapter 16: Inheritance
- Chapter 17: Linked lists
- Chapter 18: Stacks
- Chapter 19: Queues
- Chapter 20: Trees
- Appendix A: Debugging
- Appendix B: Creating a new data type
- Appendix D: Recommendations for further reading Index
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- Language:
- English
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This work is licensed under a Attribution 3.0 United States
