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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

Operator overloading

Python's operators, +, /, -, *, and so on, are implemented by special methods on classes. We can apply Python operators more widely than the built-in numbers and collection types. Doing this can be called "overloading" the operators: letting them work with more than the built-in types.

Looking back at the The collections.abc module section, earlier in this chapter, we dropped a hint about how Python connects some built-in features with our classes. When we look at the collections.abc.Collection class, it is the abstract base class for all Sized, Iterable, Containers; it requires three methods that enable two built-in functions and one built-in operator:

  • The __len__() method is used by the built-in len() function.
  • The __iter__() method is used by the built-in iter() function, which means it's used by the for statement.
  • The __contains__() method is used by the built-in in operator. This operator is implemented by methods...
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