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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

Quality and Documentation

To be valuable, software must be trusted. The general goal of trustworthiness relies on a number of software quality attributes. For more information on this, refer to the S-Cube Quality Reference Model section in https://s-cube-network.eu/km/qrm/index.html. Good documentation is an underlying technique for demonstrating that the various quality attributes have been met.

In this chapter, we'll look at two tools to produce the documentation from the code: pydoc and Sphinx. The pydoc tool extracts documentation from the Python code and produces useful views of the docstrings. The Sphinx tool allows us to create complete and sophisticated documentation using a lightweight markup language coupled with the source code. We'll describe some features of reStructuredText (RST) to help make our documentation more readable.

For more information, refer...

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