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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


Let's write the required Python code that demonstrates how to create a state machine based on the state diagram shown earlier in this chapter. Our state machine should cover the different states of a process and the transitions between them.

The State design pattern is usually implemented using a parent State class that contains the common functionality of all the states, and a number of derived ConcreteState classes, where each derived class contains only the state-specific required functionality. A sample implementation can be found at [j.mp/statepat]. In my opinion, these are implementation details. The State pattern focuses on implementing a state machine. The core parts of a state machine are the states and transitions between the states. It doesn't matter how those parts are implemented.

To avoid reinventing the wheel, we can make use of the existing Python modules that not only help us create state machines, but also do it in a Pythonic way. A module that I find very...

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