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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

Chapter 18. Quality and Documentation

Good software doesn't just happen; it's crafted. A deliverable product includes readable, accurate documentation. We'll look at two tools to produce the documentation from the code: pydoc and Sphinx. The Sphinx tool is enhanced if we write the documentation using a lightweight markup language. We'll describe some features of ReStructured Text (RST) to help make our documentation more readable.

Documentation is an important quality aspect of software; it is one aspect of building trust. Test cases are another way to build trust. Using doctest to write test cases addresses both the quality aspects.

We'll also take a brief look at literate programming techniques. The idea is to write a pleasant, easy-to-understand document that contains the entire body of the source code along with explanatory notes and design details. Literate programming isn't simple, but it can produce good code coupled with a resulting document that is very clear and complete.

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