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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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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 unittest

Let's start our exploration with Python's built-in test library. This library provides a common object-oriented interface for unit tests. The Python library for this is called, unsurprisingly, unittest. It provides several tools for creating and running unit tests, the most important being the TestCase class. (The names follow a Java naming style, so many of the method names don't look very Pythonic.) The TestCase class provides a set of methods that allow us to compare values, set up tests, and clean up when they have finished.

When we want to write a set of unit tests for a specific task, we create a subclass of TestCase and write individual methods to do the actual testing. These methods must all start with the name test. When this convention is followed, the tests automatically run as part of the test process. For simple examples, we can bundle the GIVEN, WHEN, and THEN concepts into the test method...

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