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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

Case study

This section expands on the object-oriented design of our example, iris classification. We've been building on this in the previous chapters, and we'll continue building on it in later chapters. In this chapter, we'll review the diagrams created using the Unified Modeling Language (UML) to help depict and summarize the software we're going to build. We'll move on from the previous chapter to add features for the various ways of computing "nearest" for the k-nearest neighbors algorithm. There are a number of variations for this, and it demonstrates how class hierarchies work.

There are several design principles that we'll be exploring as this design becomes more and more complete. One popular set of principles is the SOLID principles, which are:

  • S. Single Responsibility Principle. A class should have one responsibility. This can mean one reason to change when the application's requirements change...
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