Think Python 2nd Edition
Think Python is an introduction to Python programming for beginners. It starts with basic concepts of programming, and is carefully designed to define all terms when they are first used and to develop each new concept in a logical progression. Larger pieces, like recursion and object-oriented programming are divided into a sequence of smaller steps and introduced over the course of several chapters.
What’s new in the second edition?
We’ve upgraded to Python 3: All examples in the book are now Python 3, and the supporting code has been updated to run in both Python 2 and 3. We’ve removed the roadblocks: Based on reader feedback, we know where people had problems, so we’ve fixed or removed the pain points. Python in the browser: For beginners, one of the challenges of getting started is installing Python. For readers who don’t want to install Python right away, we provide instructions for running Python in a browser using PythonAnywhere, a free online programming environment. More Python goodies: We’ve added a chapter to cover some powerful Python features that didn’t make it into the first edition, including list comprehensions and additional data structures. Think Python 2e is a Free Book. It is available under the Creative Commons Attribution-NonCommercial 3.0 Unported License, which means that you are free to copy, distribute, and modify it, as long as you attribute the work and don’t use it for commercial purposes.
If you have comments, corrections or suggestions, please send me email at feedback{at}thinkpython{dot}com.
Other Free Books by Allen Downey are available from Green Tea Press.
目录
- Preface
- The way of the program
- Variables, expressions and statements
- Functions
- Case study: interface design
- Conditionals and recursion
- Fruitful functions
- Iteration
- Strings
- Case study: word play
- Lists
- Dictionaries
- Tuples
- Case study: data structure selection
- Files
- Classes and objects
- Classes and functions
- Classes and methods
- Inheritance
- The Goodies
- Debugging
- Analysis of Algorithms
- Index