You're reading from Python 3 Object-Oriented Programming - Second Edition Building robust and maintainable software with object oriented design patterns in Python

Product type Hardcover

Published in Jul 2021

Last Updated in Feb 2025

Publisher Packt

ISBN-13 9781801077262

Length 714 pages

Edition 1st Edition

Languages

Python

Concepts

Object Oriented Programming

Author (1):

Dusty Phillips

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Table of Contents (17) Chapters

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

Summary

This chapter ends our exploration of object-oriented programming with a topic that isn't very object-oriented. Concurrency is a difficult problem, and we've only scratched the surface. While the underlying OS abstractions of processes and threads do not provide an API that is remotely object-oriented, Python offers some really good object-oriented abstractions around them. The threading and multiprocessing packages both provide an object-oriented interface to the underlying mechanics. Futures are able to encapsulate a lot of the messy details into a single object. AsyncIO uses coroutine objects to make our code read as though it runs synchronously, while hiding ugly and complicated implementation details behind a very simple loop abstraction.

Thank you for reading Python Object-Oriented Programming, Fourth Edition. We hope you've enjoyed the ride and are eager to start implementing object-oriented software in all your future projects!