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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
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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
Who this book is for
What this book covers
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1. Preliminaries, Tools, and Techniques FREE CHAPTER 2. The __init__() Method 3. Integrating Seamlessly - Basic Special Methods 4. Attribute Access, Properties, and Descriptors 5. The ABCs of Consistent Design 6. Using Callables and Contexts 7. Creating Containers and Collections 8. Creating Numbers 9. Decorators and Mixins - Cross-Cutting Aspects 10. Serializing and Saving - JSON, YAML, Pickle, CSV, and XML 11. Storing and Retrieving Objects via Shelve 12. Storing and Retrieving Objects via SQLite 13. Transmitting and Sharing Objects 14. Configuration Files and Persistence 15. Design Principles and Patterns 16. The Logging and Warning Modules 17. Designing for Testability 18. Coping with the Command Line 19. Module and Package Design 20. Quality and Documentation

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 that we inherit from the object may not match our processing requirements.

We'll almost always 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 7, Creating Containers and Collections.

We often need to override comparison and __hash__() methods. These definitions are suitable for simple immutable objects, but are 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 9, Decorators...

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