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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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Toc

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

Summary

In this chapter, we went into detail on several more design patterns, covering their canonical descriptions as well as alternatives for implementing them in Python, which is often more flexible and versatile than traditional object-oriented languages. The Adapter pattern is useful for matching interfaces, while the Façade pattern is suited to simplifying them. Flyweight is a complicated pattern and only useful if memory optimization is required. Abstract Factories allow the runtime separation of implementations depending on configuration or system information. The Composite pattern is used universally for tree-like structures. A Template method can be helpful for breaking complex operations into steps to avoid repeating the common features.

This is the last of the truly object-oriented design chapters in this book. In the next two chapters, we'll discuss how important it is to test Python programs, and how to do it, focusing on object-oriented principles. Then...

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