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Mastering Object-Oriented Python

You're reading from   Mastering Object-Oriented Python Build powerful applications with reusable code using OOP design patterns and Python 3.7

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789531367
Length 770 pages
Edition 2nd Edition
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Table of Contents (25) Chapters Close

Preface 1. Section 1: Tighter Integration Via Special Methods FREE CHAPTER
2. Preliminaries, Tools, and Techniques 3. The __init__() Method 4. Integrating Seamlessly - Basic Special Methods 5. Attribute Access, Properties, and Descriptors 6. The ABCs of Consistent Design 7. Using Callables and Contexts 8. Creating Containers and Collections 9. Creating Numbers 10. Decorators and Mixins - Cross-Cutting Aspects 11. Section 2: Object Serialization and Persistence
12. Serializing and Saving - JSON, YAML, Pickle, CSV, and XML 13. Storing and Retrieving Objects via Shelve 14. Storing and Retrieving Objects via SQLite 15. Transmitting and Sharing Objects 16. Configuration Files and Persistence 17. Section 3: Object-Oriented Testing and Debugging
18. Design Principles and Patterns 19. The Logging and Warning Modules 20. Designing for Testability 21. Coping with the Command Line 22. Module and Package Design 23. Quality and Documentation 24. Other Books You May Enjoy

Using pytest and fixtures

An alternative to the unittest runner is the pytest test runner. The pytest framework has an excellent test discovery feature that goes beyond what the unittest tool can discover.

The unittest runner can be used in the following two ways.

  • With a test suite object. The previous examples have focused on this.
  • To search for classes that are extensions of unittest.TestCase, build a test suite from those, and then run the suite. This offers considerable flexibility. We can add test cases without also having to update the code to build the test suite.

The pytest tool can also locate unittest.TestCase class definitions, build a suite of tests, and execute the tests. It can go beyond this and also locate functions with names starting with test_ in modules where the name starts with test_. Using simple functions has some advantages over the more complex unittest...

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