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Python Object-Oriented Programming

You're reading from   Python Object-Oriented Programming Build robust and maintainable object-oriented Python applications and libraries

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781801077262
Length 714 pages
Edition 4th Edition
Languages
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Author (1):
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Dusty Phillips Dusty Phillips
Author Profile Icon Dusty Phillips
Dusty Phillips
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Table of Contents (17) Chapters Close

Preface 1. Object-Oriented Design 2. Objects in Python FREE CHAPTER 3. When Objects Are Alike 4. Expecting the Unexpected 5. When to Use Object-Oriented Programming 6. Abstract Base Classes and Operator Overloading 7. Python Data Structures 8. The Intersection of Object-Oriented and Functional Programming 9. Strings, Serialization, and File Paths 10. The Iterator Pattern 11. Common Design Patterns 12. Advanced Design Patterns 13. Testing Object-Oriented Programs 14. Concurrency 15. Other Books You May Enjoy
16. Index

Metaclasses

As we noted earlier, creating a new class involves work done by the type class. The job of the type class is to create an empty class object so the various definitions and attributes assignment statements will build the final, usable class we need for our application.

Here's how it works:

Figure 6.3: How type creates MyClass

The class statement is used to locate the appropriate metaclass; if no special metaclass= is provided, then the type class is used. The type class will prepare a new, empty dictionary, called a namespace, and then the various statements in the class populate this container with attributes and method definitions. Finally, the "new" step completes creation of the class; this is generally where we can make our changes.

Here's a diagram showing how we can use a new class, SpecialMeta, to tap into the way type builds a new class for us:

Figure 6.4: Extending the type class

If we use the metaclass...

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