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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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Toc

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

Understanding the Factory pattern

In object-oriented programming, the term factory means a class that is responsible for creating objects of other types. Typically, the class that acts as a factory has an object and methods associated with it. The client calls this method with certain parameters; objects of desired types are created in turn and returned to the client by the factory.

So the question here really is, why do we need a factory when the client can directly create an object? The answer is, a factory provides certain advantages that are listed here:

  • The first advantage is loose coupling in which object creation can be independent of the class implementation.
  • The client need not be aware of the class that creates the object which, in turn, is utilized by the client. It is only necessary to know the interface, methods, and parameters that need to be passed to create objects of the desired type. This simplifies implementations for the client.
  • Adding another class to the factory to create...
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