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You're reading from Python 3 Object Oriented Programming If you feel it‚Äôs time you learned object-oriented programming techniques, this is the perfect book for you. Clearly written with practical exercises, it‚Äôs the painless way to learn how to harness the power of OOP in Python.

Product type Paperback

Published in Jul 2010

Publisher Packt

ISBN-13 9781849511261

Length 404 pages

Edition 1st Edition

Languages

Python

Concepts

Object Oriented Programming

Author (1):

Dusty Phillips

View More author details

Table of Contents (18) Chapters

Python 3 Object Oriented Programming

Credits

About the Author

About the Reviewers

Preface

1. Object-oriented Design FREE CHAPTER

2. Objects in Python

3. When Objects are Alike

4. Expecting the Unexpected

5. When to Use Object-oriented Programming

6. Python Data Structures

7. Python Object-oriented Shortcuts

8. Python Design Patterns I

9. Python Design Patterns II

10. Files and Strings

11. Testing Object-oriented Programs

12. Common Python 3 Libraries

Index

Comprehensions

We've already seen a lot of Python's for loop. It allows us to loop over any object that supports the iterable protocol and do something specific with each of the elements in turn.

Supporting the iterable protocol simply means an object has an __iter__ method that returns another object that supports the iterator protocol. Supporting the iterator protocol is a fancy way of saying it has a __next__ method that either returns the next object in the sequence, or raises a StopIteration exception when all objects have been returned.

As you can see, the for statement, in spite of not looking terribly object-oriented, is actually a shortcut to some extremely object-oriented designs. Keep this in mind as we discuss comprehensions, as they, too, appear to be the polar opposite of an object-oriented tool. Yet, they use the same iteration protocol as for loops. They're just another kind of shortcut.