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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

Summary


We looked at the following four ways to create usable documentation:

  • We can incorporate the information into the docstrings in our software

  • We can use pydoc to extract the API reference information from our software.

  • We can use Sphinx to create more sophisticated and elaborate documentation

  • Also, we can use a literate programming tool to create even deeper and more meaningful documentation

Design considerations and trade-offs

The docstring should be considered as essential as any other part of the Python source. This ensures that the help() function and pydoc will work correctly. As with unit test cases, this should be viewed as a mandatory element of the software.

The documentation created by Sphinx can be very good looking; it will tend to parallel the Python documentation. Our objective all along has been seamless integration with the other features of Python. Using Sphinx tends to introduce an additional directory structure for the documentation source and build.

As we design our classes...

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