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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
Languages
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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

Summary

We looked at using unittest and doctest to create automated unit tests. We also looked at creating a test suite so that collections of tests can be packaged for reuse and aggregation into suites with larger scopes, without relying on the automated test discovery process.

We looked at how to create mock objects so that we can test software units in isolation. We also looked at the various kinds of setup and teardown features. These allowed us to write tests with complex initial states or persistent results.

The FIRST unit test properties fit well with both doctest and unittest. The FIRST properties are as follows:

  • Fast: Unless we write egregiously bad tests, the performance of doctest and unitest should be very fast.
  • Isolated: The unittest package offers us a mock module that we can use to isolate our class definitions. In addition, we can exercise some care in our design...
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