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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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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

Chapter 7. Design Patterns in Python

Design patterns simplify building software by reusing successful designs and architectures. Patterns build on the collective experience of software engineers and architects. When faced with a problem that needs new code to be written, an experienced software architect tends to make use of the rich ecosystem of available design/architecture patterns.

Patterns evolve when a specific design proves successful in solving certain classes of problem repeatedly. When experts find that a specific design or architecture helps them to solve classes of related problems consistently, they tend to apply it more and more, codifying the structure of the solution into a pattern.

Python (given that it's a language which supports dynamic types and high-level object oriented structures such as classes and metaclasses, first-class functions, co-routines, callable objects, and so on) is a very rich playground for constructing reusable design and architecture...

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