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Python Object-Oriented Programming

You're reading from   Python Object-Oriented Programming Build robust and maintainable object-oriented Python applications and libraries

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781801077262
Length 714 pages
Edition 4th Edition
Languages
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Author (1):
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Dusty Phillips Dusty Phillips
Author Profile Icon Dusty Phillips
Dusty Phillips
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Toc

Table of Contents (17) Chapters Close

Preface 1. Object-Oriented Design 2. Objects in Python FREE CHAPTER 3. When Objects Are Alike 4. Expecting the Unexpected 5. When to Use Object-Oriented Programming 6. Abstract Base Classes and Operator Overloading 7. Python Data Structures 8. The Intersection of Object-Oriented and Functional Programming 9. Strings, Serialization, and File Paths 10. The Iterator Pattern 11. Common Design Patterns 12. Advanced Design Patterns 13. Testing Object-Oriented Programs 14. Concurrency 15. Other Books You May Enjoy
16. Index

Unit testing with pytest

We can create unit tests using a library that provides a common framework for the test scenarios, along with a test runner to execute the tests and log results. Unit tests focus on testing the least amount of code possible in any one test. The standard library includes the unittest package. While widely used, this package tends to force us to create a fair amount of boilerplate code for each test case.

One of the more popular alternatives to the standard library unittest is pytest. This has the advantage of letting us write smaller, and more clear, test cases. The lack of overheads makes this a desirable alternative.

Since pytest is not part of the standard library, you'll need to download and install it yourself. You can get it from the pytest home page at https://docs.pytest.org/en/stable/. You can install it with any of the installers.

In a Terminal window, activate the virtual environment you're working in...

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