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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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Toc

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 Chain of Responsibility design pattern. This pattern is useful to model requests / handle events when the number and type of handlers isn't known in advance. Examples of systems that fit well with Chain of Responsibility are event-based systems, purchase systems, and shipping systems.

In the Chain Of Responsibility pattern, the sender has direct access to the first node of a chain. If the request cannot be satisfied by the first node, it forwards to the next node. This continues until either the request is satisfied by a node or the whole chain is traversed. This design is used to achieve loose coupling between the sender and the receiver(s).

ATMs are an example of Chain Of Responsibility. The single slot that is used for all banknotes can be considered the head of the chain. From here, depending on the transaction, one or more receptacles is used to process the transaction. The receptacles can be considered the processing elements of the chain.

Java...

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