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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

Using doctest to define test cases


The doctest module provides us with a simpler form of testing than the unittest module. There are many cases where a simple interaction can be shown in the docstring and the test can be automated via doctest. This will combine the documentation and test cases into one tidy package.

The doctest cases are written into the docstring for a module, class, method, or function. A doctest case shows us the interactive Python prompt >>>, statements and responses. The doctest module contains an application that looks for these examples in docstrings. It runs the given examples and compares the expected results shown in the docstrings with the actual outputs.

For larger and more complex class definitions, this can be challenging. In some cases, we may find that simple, printable results are difficult to work with, and we need more sophisticated comparisons to be made available from unittest.

With careful design of an API, we can create a class that can be used...

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