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Python Object-Oriented Programming - Fourth Edition

You're reading from  Python Object-Oriented Programming - Fourth Edition

Product type Book
Published in Jul 2021
Publisher Packt
ISBN-13 9781801077262
Pages 714 pages
Edition 4th Edition
Languages
Authors (2):
Steven F. Lott Steven F. Lott
Profile icon Steven F. Lott
Dusty Phillips Dusty Phillips
Profile icon Dusty Phillips
View More author details

Table of Contents (17) Chapters

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. 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

Recall

Here are some of the key points in this chapter:

  • Using abstract base class definitions is a way to create class definitions with placeholders. This is a handy technique, and can be somewhat clearer than using raise NotImplementedError in unimplemented methods.
  • ABCs and type hints provide ways to create class definitions. An ABC is a type hint that can help to clarify the essential features we need from an object. It's common, for example, to use Iterable[X] to emphasize that we need one aspect of a class implementation.
  • The collections.abc module defines abstract base classes for Python's built-in collections. When we want to make our own unique collect class that can integrate seamlessly with Python, we need to start with the definitions from this module.
  • Creating your own abstract base class leverages the abc module. The abc.ABC class definition is often a perfect starting point for creating an abstract base class.
  • The bulk of...
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