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Crafting Test-Driven Software with Python

You're reading from   Crafting Test-Driven Software with Python Write test suites that scale with your applications' needs and complexity using Python and PyTest

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781838642655
Length 338 pages
Edition 1st Edition
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Author (1):
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Alessandro Molina Alessandro Molina
Author Profile Icon Alessandro Molina
Alessandro Molina
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Software Testing and Test-Driven Development
2. Getting Started with Software Testing FREE CHAPTER 3. Test Doubles with a Chat Application 4. Test-Driven Development while Creating a TODO List 5. Scaling the Test Suite 6. Section 2: PyTest for Python Testing
7. Introduction to PyTest 8. Dynamic and Parametric Tests and Fixtures 9. Fitness Function with a Contact Book Application 10. PyTest Essential Plugins 11. Managing Test Environments with Tox 12. Testing Documentation and Property-Based Testing 13. Section 3: Testing for the Web
14. Testing for the Web: WSGI versus HTTP 15. End-to-End Testing with the Robot Framework 16. About Packt 17. Other Books You May Enjoy

Summary

In this chapter, we saw how Tox can take care of all the setup necessary to run our tests for us and how it can do that on multiple target environments so that all we have to do to run tests is just to invoke Tox itself.

This is a more convenient, but also robust, way to manage our test suite. The primary benefit is that anyone else willing to contribute to our project won't have to learn how to set up our projects and how to run tests. If our colleagues or project contributors are familiar with Tox, seeing that our project includes a tox.ini file tells them all that they will need to know—that they just have to invoke the tox command to run tests.

Now that we have seen the base plugins and tools to manage and run our test suite, in the next chapter, we can move on to some more advanced topics that involve how to test our documentation itself and how to use property-based testing to catch bugs in our code.

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