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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 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

Base classes and polymorphism

In this section, we'll flirt with the idea of pretty poor polymorphism. Inspection of argument value types is a Python programming practice that should be isolated to a few special cases. Later, when we look at numbers and numeric coercion, we'll learn about cases where the inspection of types is recommended.

Well-done polymorphism follows what is sometimes called the Liskov substitution principle. Polymorphic classes can be used interchangeably. Each polymorphic class has the same suite of properties. For more information, visit http://en.wikipedia.org/wiki/Liskov_substitution_principle.

Overusing isinstance() to distinguish between the types of arguments can lead to a needlessly complex (and slow) program. Unit testing is a far better way to find programming errors than verbose type inspection in the code.

Method functions with lots of...

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