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Mastering Python Design Patterns

You're reading from   Mastering Python Design Patterns Start learning Python programming to a better standard by mastering the art of Python design patterns

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783989324
Length 212 pages
Edition 1st Edition
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Author (1):
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Sakis Kasampalis Sakis Kasampalis
Author Profile Icon Sakis Kasampalis
Sakis Kasampalis
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Table of Contents (18) Chapters Close

Preface 1. The Factory Pattern 2. The Builder Pattern FREE CHAPTER 3. The Prototype Pattern 4. The Adapter Pattern 5. The Decorator Pattern 6. The Facade Pattern 7. The Flyweight Pattern 8. The Model-View-Controller Pattern 9. The Proxy Pattern 10. The Chain of Responsibility Pattern 11. The Command Pattern 12. The Interpreter Pattern 13. The Observer Pattern 14. The State Pattern 15. The Strategy Pattern 16. The Template Pattern Index

Summary

This chapter covered the Decorator pattern and its relation to the Python programming language. We use the Decorator pattern as a convenient way of extending the behavior of an object without using inheritance. Python extends the Decorator concept even more, by allowing us to extend the behavior of any callable (function, method, or class) without using inheritance or composition. We can use the built-in decorator feature of Python.

We have seen a few examples of objects that are decorated in reality, like guns and cameras. From a software point of view, both Django and Grok use decorators for achieving different goals, such as controlling HTTP compression and caching.

The Decorator pattern is a great solution for implementing cross-cutting concerns, because they are generic and do not fit well into the OOP paradigm. We mentioned many categories of cross-cutting concerns in the Use cases section. In fact, in the Implementation section a cross-cutting concern was demonstrated: memoization...

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