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Learning Python Design Patterns - Second Edition

You're reading from   Learning Python Design Patterns - Second Edition

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Product type Paperback
Published in Feb 2016
Publisher
ISBN-13 9781785888038
Length 164 pages
Edition 2nd Edition
Languages
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Authors (2):
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Gennadiy Zlobin Gennadiy Zlobin
Author Profile Icon Gennadiy Zlobin
Gennadiy Zlobin
Chetan Giridhar Chetan Giridhar
Author Profile Icon Chetan Giridhar
Chetan Giridhar
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Table of Contents (13) Chapters Close

Preface 1. Introduction to Design Patterns 2. The Singleton Design Pattern FREE CHAPTER 3. The Factory Pattern – Building Factories to Create Objects 4. The Façade Pattern – Being Adaptive with Façade 5. The Proxy Pattern – Controlling Object Access 6. The Observer Pattern – Keeping Objects in the Know 7. The Command Pattern – Encapsulating Invocation 8. The Template Method Pattern – Encapsulating Algorithm 9. Model-View-Controller – Compound Patterns 10. The State Design Pattern 11. AntiPatterns Index

Advantages/disadvantages of the State pattern


Here are the benefits of the State design pattern:

  • In the State design pattern, an object's behavior is the result of the function of its state, and the behavior gets changed at runtime depending on the state. This removes the dependency on the if/else or switch/case conditional logic. For example, in the TV remote scenario, we could have also implemented the behavior by simply writing one class and method that will ask for a parameter and perform an action (switch the TV on/off) with an if/else block.

  • With State pattern, the benefits of implementing polymorphic behavior are evident, and it is also easier to add states to support additional behavior.

  • The State design pattern also improves Cohesion since state-specific behaviors are aggregated into the ConcreteState classes, which are placed in one location in the code.

  • With the State design pattern, it is very easy to add a behavior by just adding one more ConcreteState class. State pattern thus...

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