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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

Recall

Some key points in this chapter:

  • A central object-oriented design principle is inheritance: a subclass can inherit aspects of a superclass, saving copy-and-paste programming. A subclass can extend the superclass to add features or specialize the superclass in other ways.
  • Multiple inheritance is a feature of Python. The most common form is a host class with mixin class definitions. We can combine multiple classes leveraging the method resolution order to handle common features like initialization.
  • Polymorphism lets us create multiple classes that provide alternative implementations for fulfilling a contract. Because of Python's duck typing rules, any classes that have the right methods can substitute for each other.
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