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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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Toc

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

Summary

In this chapter, we revisited the definition of testability and its related architectural quality aspects, such as complexity and determinism. We looked at the different architectural aspects that are tested and got an understanding of the type of tests that are usually performed by the software testing process.

We then discussed the various strategies for improving the testability of software, and looked at techniques to reduce system complexity and improve predictability and to control and manage external dependencies. Along the way, we learned the different ways to virtualize and manage external dependencies, such as fakes, mocks and stubs, by way of examples.

We then looked at unit testing and its various aspects mainly from the perspective of the Python unittest module. We saw an example by using a datetime helper class, and explained how to write effective unit tests—a simple example followed by an interesting example of patching functions using the mock library of unittest...

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