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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 17. The Module and Package Design

Python gives us several higher-level constructs to organize software. In Part 1, Pythonic Classes via Special Methods we looked at advanced techniques to use class definitions to properly bind the structure and behavior together. In this chapter, we'll look at modules to encapsulate classes, functions, and global objects. Above the module grouping, we also have packages as a design pattern to group related modules together.

Python makes it very easy to create simple modules. Any time we create a Python file, we're creating a module. As the scope of our designs gets larger and more sophisticated, the use of packages becomes more important to maintain a clear organization among the modules.

We have some specialized modules as well. For a larger application, we may implement a __main__ module. This module must be designed to expose the OS command-line interface to the application. It must also be defined in such a way that it doesn't block the simple...

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