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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've looked at a number of basic special methods, which are essential features of any class that we design. These methods are already part of every class, but the defaults we inherit from the object may not match our processing requirements.

We'll almost always have a need to override __repr__(), __str__(), and __format__(). The default implementations of these methods aren't very helpful at all.

We rarely need to override __bool__() unless we're writing our own collection. That's the subject of Chapter 6, Creating Containers and Collections.

We often need to override the comparison and __hash__() methods. The definitions are suitable for simple immutable objects but not at all appropriate for mutable objects. We may not need to write all the comparison operators; we'll look at the @functools.total_ordering decorator in Chapter 8, Decorators and Mixins – Cross-cutting Aspects.

The other two basic special method names, __new__() and __del__(), are for more specialized purposes. Using...

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