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Python Object-Oriented Programming

You're reading from   Python Object-Oriented Programming Build robust and maintainable object-oriented Python applications and libraries

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781801077262
Length 714 pages
Edition 4th Edition
Languages
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Author (1):
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Dusty Phillips Dusty Phillips
Author Profile Icon Dusty Phillips
Dusty Phillips
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Table of Contents (17) Chapters Close

Preface 1. Object-Oriented Design 2. Objects in Python FREE CHAPTER 3. When Objects Are Alike 4. Expecting the Unexpected 5. When to Use Object-Oriented Programming 6. Abstract Base Classes and Operator Overloading 7. Python Data Structures 8. The Intersection of Object-Oriented and Functional Programming 9. Strings, Serialization, and File Paths 10. The Iterator Pattern 11. Common Design Patterns 12. Advanced Design Patterns 13. Testing Object-Oriented Programs 14. Concurrency 15. Other Books You May Enjoy
16. Index

Creating an abstract base class

Imagine we are creating a media player with third-party plugins. It is advisable to create an abstract base class (ABC) in this case to document what API the third-party plugins should provide (documentation is one of the stronger use cases for ABCs).

The general design is to have a common feature, like play(), that applies to a number of classes. We don't want to pick some particular media format to use as a superclass; it seems somehow wrong to claim that some format is foundational, and all others are derived from it.

We'd prefer to define the media player as an abstraction. Each unique kind of media file format can provide a concrete implementation of the abstraction.

The abc module provides the tools to do this. Here's an abstract class that requires a subclass to provide a concrete method and a concrete property to be useful:

class MediaLoader(abc.ABC):
    @abc.abstractmethod
    def play(self) -&gt...
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