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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

The previous chapters of the case study have contained a number of design patterns. We'll pick a variation on the model and walk through some of the patterns from this chapter and how they were applied.

Here's an overview of several parts of the application's classes. This is from the case study in Chapter 7, Python Data Structures:

Figure 12.12: The case study Logical view

This involves a number of patterns we've seen in this chapter. We'll start with the Hyperparameter class, which is a Façade that includes two separate complex components, the classifier algorithm and the training data.

First, we'll look at the classifier algorithm. In Chapter 10, The Iterator Pattern, we saw how the classifier is itself a complex structure. We looked at three alternatives: k_nn_1(), which had a naïve sort, k_nn_b(), which used bisection, and k_nn_q(), which used a heap queue. This exploration relied on several design patterns...

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