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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

A software example

Python uses the Template pattern in the cmd module, which is used to build line-oriented command interpreters. Specifically, cmd.Cmd.cmdloop() implements an algorithm that reads input commands continuously and dispatches them to action methods. What is done before the loop, after the loop, and the command parsing part are always the same. This is also called the invariant part of an algorithm. What changes are the actual action methods (the variant part) [j.mp/templatemart, page 27].

The Python module asyncore, which is used to implement asynchronous socket service client/servers, also uses Template. Methods such as asyncore.dispather.handle_connect_event() and asyncore.dispather.handle_write_event() contain only generic code. To execute the socket-specific code, they execute the handle_connect() method. Note that what is executed is handle_connect() of a specific socket, not asyncore.dispatcher.handle_connect(), which actually contains only a warning. We can see that...

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