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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

Recall

The world of software design is full of good ideas. The really good ideas get repeated and form repeatable patterns. Knowing – and using – these patterns of software design can save the developer from burning a lot of brain calories trying to reinvent something that's been developed already. In this chapter, we looked at a few of the most common patterns:

  • The Decorator pattern is used in the Python language to add features to functions or classes. We can define decorator functions and apply them directly, or use the @ syntax to apply a decorator to another function.
  • The Observer pattern can simplify writing GUI applications. It can also be used in non-GUI applications to formalize relationships between objects that change state, and objects that display or summarize or otherwise use the state information.
  • The Strategy pattern is central to a lot of object-oriented programming. We can decompose large problems into containers with the...
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