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Mastering Python Design Patterns - Third Edition

You're reading from  Mastering Python Design Patterns - Third Edition

Product type Book
Published in May 2024
Publisher Packt
ISBN-13 9781837639618
Pages 296 pages
Edition 3rd Edition
Languages
Authors (2):
Kamon Ayeva Kamon Ayeva
Profile icon Kamon Ayeva
Sakis Kasampalis Sakis Kasampalis
Profile icon Sakis Kasampalis
View More author details
Toc

Table of Contents (17) Chapters close

Preface 1. Part 1: Start with Principles
2. Chapter 1: Foundational Design Principles 3. Chapter 2: SOLID Principles 4. Part 2: From the Gang of Four
5. Chapter 3: Creational Design Patterns 6. Chapter 4: Structural Design Patterns 7. Chapter 5: Behavioral Design Patterns 8. Part 3: Beyond the Gang of Four
9. Chapter 6: Architectural Design Patterns 10. Chapter 7: Concurrency and Asynchronous Patterns 11. Chapter 8: Performance Patterns 12. Chapter 9: Distributed Systems Patterns 13. Chapter 10: Patterns for Testing 14. Chapter 11: Python Anti-Patterns 15. Index 16. Other Books You May Enjoy

The decorator pattern

A second interesting structural pattern to learn about is the decorator pattern, which allows a programmer to add responsibilities to an object dynamically, and in a transparent manner (without affecting other objects).

There is another reason why this pattern is interesting to us, as you will see in a minute.

As Python developers, we can write decorators in a Pythonic way (meaning using the language’s features), thanks to the built-in decorator feature.

Note

A Python decorator is a callable (function, method, or class) that gets a func_in function object as input and returns another function object, func_out. It is a commonly used technique for extending the behavior of a function, method, or class.

For more details on Python’s decorator feature, see the official documentation: https://docs.python.org/3/reference/compound_stmts.html#function

But this feature should not be completely new to you. We have already encountered commonly...

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