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Python 3 Object-Oriented Programming - Second Edition

You're reading from  Python 3 Object-Oriented Programming - Second Edition

Product type Book
Published in Aug 2015
Publisher Packt
ISBN-13 9781784398781
Pages 460 pages
Edition 1st Edition
Languages
Author (1):
Dusty Phillips Dusty Phillips
Profile icon Dusty Phillips

Table of Contents (21) Chapters

Python 3 Object-oriented Programming Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Introduction to the second edition
Preface
1. Object-oriented Design 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. Strings and Serialization 9. The Iterator Pattern 10. Python Design Patterns I 11. Python Design Patterns II 12. Testing Object-oriented Programs 13. Concurrency Index

Extending built-ins


We discussed briefly in Chapter 3, When Objects Are Alike, how built-in data types can be extended using inheritance. Now, we'll go into more detail as to when we would want to do that.

When we have a built-in container object that we want to add functionality to, we have two options. We can either create a new object, which holds that container as an attribute (composition), or we can subclass the built-in object and add or adapt methods on it to do what we want (inheritance).

Composition is usually the best alternative if all we want to do is use the container to store some objects using that container's features. That way, it's easy to pass that data structure into other methods and they will know how to interact with it. But we need to use inheritance if we want to change the way the container actually works. For example, if we want to ensure every item in a list is a string with exactly five characters, we need to extend list and override the append() method to raise...

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