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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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Toc

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

Frameworks and tools for testing

There are a lot of tools we can use for writing out unit tests, all of them with pros and cons and serving different purposes. But among all of them, there are two that will most likely cover almost every scenario, and therefore we limit this section to just them.

Along with testing frameworks and test running libraries, it's often common to find projects that configure code coverage, which they use as a quality metric. Since coverage (when used as a metric) is misleading, after seeing how to create unit tests we'll discuss why it's not to be taken lightly.

Frameworks and libraries for unit testing

In this section, we will discuss two frameworks for writing and running unit tests...

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