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Mastering Object-oriented Python

You're reading from   Mastering Object-oriented Python If you want to master object-oriented Python programming this book is a must-have. With 750 code samples and a relaxed tutorial, it's a seamless route to programming Python.

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Product type Paperback
Published in Apr 2014
Publisher Packt
ISBN-13 9781783280971
Length 634 pages
Edition 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 (26) Chapters Close

Mastering Object-oriented Python
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Some Preliminaries
1. The __init__() Method FREE CHAPTER 2. Integrating Seamlessly with Python Basic Special Methods 3. Attribute Access, Properties, and Descriptors 4. The ABCs of Consistent Design 5. Using Callables and Contexts 6. Creating Containers and Collections 7. Creating Numbers 8. Decorators and Mixins – Cross-cutting Aspects 9. Serializing and Saving – JSON, YAML, Pickle, CSV, and XML 10. Storing and Retrieving Objects via Shelve 11. Storing and Retrieving Objects via SQLite 12. Transmitting and Sharing Objects 13. Configuration Files and Persistence 14. The Logging and Warning Modules 15. Designing for Testability 16. Coping With the Command Line 17. The Module and Package Design 18. Quality and Documentation Index

Defining and isolating units for testing


As testing is essential, testability is an important design consideration. Our designs must also support testing and debugging because a class that merely appears to work is of no value. A class that has evidence that it works is much more valuable.

Ideally, we'd like a hierarchy of testing. At the foundation is unit testing. Here, we test each class or function in isolation to be sure that it meets the contractual obligations of the API. Each class or function is a single unit under test. Above this comes integration testing. Once we know that each class and function works individually, we can test groups and clusters of classes. We can test whole modules and whole packages, too. After the integration tests work, we can look at the automated testing of the complete application.

This is not an exhaustive list of the types of tests. We can do performance testing or security vulnerability testing too. We'll focus, however, on automated unit testing because...

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