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Clean Code in Python

You're reading from   Clean Code in Python Refactor your legacy code base

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781788835831
Length 332 pages
Edition 1st Edition
Languages
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Author (1):
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Mariano Anaya Mariano Anaya
Author Profile Icon Mariano Anaya
Mariano Anaya
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Table of Contents (12) Chapters Close

Preface 1. Introduction, Code Formatting, and Tools FREE CHAPTER 2. Pythonic Code 3. General Traits of Good Code 4. The SOLID Principles 5. Using Decorators to Improve Our Code 6. Getting More Out of Our Objects with Descriptors 7. Using Generators 8. Unit Testing and Refactoring 9. Common Design Patterns 10. Clean Architecture 11. Other Books You May Enjoy

Design principles and unit testing

In this section, are first going to take a look at unit testing from a conceptual point of view. We will revisit some of the software engineering principles we discussed in the previous to get an idea of how this is related to clean code.

After that, we will discuss in more detail how to put these concepts into practice (at the code level), and what frameworks and tools we can make use of.

First we quickly define what unit testing is about. Unit tests are parts of the code in charge of validating other parts of the code. Normally, anyone would be tempted to say that unit tests, validate the "core" of the application, but such definition regards unit tests to a secondary place, which is not the way they are thought of in this book. Unit tests are core, and a critical component of the software and they should be treated with the same...

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