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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

Extending built-ins

Python has two collections of built-ins that we might want to extend. We can broadly classify these into the following:

  • Immutable objects, including numbers, strings, bytes, and tuples. These will often have extended operators defined. In the Operator overloading section of this chapter, we looked at how we can provide arithmetic operations for objects of the Dice class.
  • Mutable collections, including sets, lists, and dictionaries. When we look at the definitions in collections.abc, these are sized, iterable containers, three distinct aspects that we might want to focus on. In The collections.abc module section of this chapter, we looked at creating an extension to the Mapping abstract base class.

There are other built-in types, but these two groupings are generally applicable to a variety of problems. For example, we could create a dictionary that rejects duplicate values.

The built-in dictionary always updates the value associated...

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