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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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Toc

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

Basic inheritance

Technically, every class we create uses inheritance. All Python classes are subclasses of the special built-in class named object. This class provides a little bit of metadata and a few built-in behaviors so Python can treat all objects consistently.

If we don't explicitly inherit from a different class, our classes will automatically inherit from object. However, we can redundantly state that our class derives from object using the following syntax:

class MySubClass(object): 
    pass 

This is inheritance! This example is, technically, no different from our very first example in Chapter 2Objects in Python. In Python 3, all classes automatically inherit from object if we don't explicitly provide a different superclass. The superclasses, or parent classes, in the relationship are the classes that are being inherited from, object in this example. A subclass – MySubClass, in this example &...

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