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Software Architecture with Python

You're reading from   Software Architecture with Python Design and architect highly scalable, robust, clean, and high performance applications in Python

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781786468529
Length 556 pages
Edition 1st Edition
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Concepts
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Author (1):
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Anand Balachandran Pillai Anand Balachandran Pillai
Author Profile Icon Anand Balachandran Pillai
Anand Balachandran Pillai
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Table of Contents (12) Chapters Close

Preface 1. Principles of Software Architecture FREE CHAPTER 2. Writing Modifiable and Readable Code 3. Testability – Writing Testable Code 4. Good Performance is Rewarding! 5. Writing Applications that Scale 6. Security – Writing Secure Code 7. Design Patterns in Python 8. Python – Architectural Patterns 9. Deploying Python Applications 10. Techniques for Debugging Index

Categories of design patterns


Design patterns can be categorized in different ways according to the criteria chosen. A commonly accepted way of categorizing is by using the criterion of purpose of the pattern. In other words, we ask the pattern what class of problems the pattern solves.

This kind of categorization gives us three neat varieties of pattern classes. These are as follows:

  • Creational: These patterns solve the problems associated with object creation and initialization. These are problems that occur the earliest in the life cycle of problem solving with objects and classes. Take a look at the following examples:

    • The Factory pattern: The "How do I make sure I can create related class instances in a repeatable and predictable fashion?" question is solved by the Factory class of patterns

    • The Prototype pattern: The "What is a smart approach to instantiate an object, and then create hundreds of similar objects by just copying across this one object ?" question is solved by the Prototype...

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