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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

Advanced Design Patterns

In this chapter, we will be introduced to several more design patterns. Once again, we'll cover the canonical examples as well as any common alternative implementations in Python. We'll be discussing the following:

  • The Adapter pattern
  • The Façade pattern
  • Lazy initialization and the Flyweight pattern
  • The Abstract Factory pattern
  • The Composite pattern
  • The Template pattern

The case study for this chapter will demonstrate how to apply a few of these patterns to the iris sample problem. In particular, we'll show how much of the design has been based – implicitly – on a number of these patterns.

Consistent with the practice in Design Patterns: Elements of Reusable Object-Oriented Software, we'll capitalize the pattern names.

We'll begin with the Adapter pattern. This is often used to provide a needed interface around an object with a design that doesn't –...

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