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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

Implementation

In this section, we will implement a data formatter. The ideas described here are based on the ActiveState Python Observer code recipe [j.mp/pythonobs]. There is a default formatter that shows a value in the decimal format. However, we can add/register more formatters. In this example, we will add a hex and binary formatter. Every time the value of the default formatter is updated, the registered formatters are notified and take action. In this case, the action is to show the new value in the relevant format.

Observer is actually one of the patterns where inheritance makes sense. We can have a base Publisher class that contains the common functionality of adding, removing, and notifying observers. Our DefaultFormatter class derives from Publisher and adds the formatter-specific functionality. We can dynamically add and remove observers on demand. The following class diagram shows an instance of the example using two observers: HexFormatter and BinaryFormatter. Note that, because...

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