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Python Object-Oriented Programming - Fourth Edition

You're reading from  Python Object-Oriented Programming - Fourth Edition

Product type Book
Published in Jul 2021
Publisher Packt
ISBN-13 9781801077262
Pages 714 pages
Edition 4th Edition
Languages
Authors (2):
Steven F. Lott Steven F. Lott
Profile icon Steven F. Lott
Dusty Phillips Dusty Phillips
Profile icon Dusty Phillips
View More author details

Table of Contents (17) Chapters

Preface 1. Object-Oriented Design 2. Objects in Python 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

When to Use Object-Oriented Programming

In previous chapters, we've covered many of the defining features of object-oriented programming. We now know some principles and paradigms of object-oriented design, and we've covered the syntax of object-oriented programming in Python.

Yet, we don't know exactly how and, especially, when to utilize these principles and syntax in practice. In this chapter, we'll discuss some useful applications of the knowledge we've gained, looking at some new topics along the way:

  • How to recognize objects
  • Data and behaviors, once again
  • Wrapping data behaviors using properties
  • The Don't Repeat Yourself principle and avoiding repetition

In this chapter, we'll also address some alternative designs for our case study problem. We'll look at ways to partition the sample data into training sets and test sets.

We'll start this chapter with a close look at the nature of...

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