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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

We'll refine our case study in this chapter. Previously, in Chapter 2, Objects in Python, we talked in a vague way about loading the training data and splitting it into two clumps – the training set and the testing set. In Chapter 5, When to Use Object-Oriented Programming, we looked at ways to deserialize the source file into Sample instances.

In this chapter, we want to look further at this operation of using the raw data to create a number of TrainingKnownSample instances separate from a number of TestingKnownSample instances. In the previous chapter, we identified four cases for sample objects, shown in the following table:

Known

Unknown

Unclassified

Training data

...
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