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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


In this chapter, we covered the Observer design pattern. We use Observer when we want to be able to inform/notify all stakeholders (an object or a group of objects) when the state of an object changes. An important feature of observer is that the number of subscribers/observers as well as who the subscribers are may vary and can be changed at runtime.

To understand Observer, you can think of an auction, with the bidders being the subscribers and the auctioneer being the publisher. This pattern is used quite a lot in the software world.

In general, all systems that make use of the MVC pattern are event-based. As specific examples, we mentioned:

  • django-observer, a third-party Django library used to register observers that are executed when fields are modified.

  • The Python bindings of RabbitMQ. We referred to a specific example of RabbitMQ used to implement the publish-subscribe (aka Observer) pattern.

In the implementation example, we saw how to use Observer to create data formatters that...

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