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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

Exercises

We've looked at the concept of defining abstract classes to define some – but not all – common features of two objects. Take a quick look around to see how you can apply these principles to your own work. A script can often be restated as a class; each major step of the work a separate method. Do you have similar-looking scripts that – perhaps – share a common abstract definition? Another place to find things that are partially related is in the classes that describe data files. A spreadsheet file often has small variations in layout; this suggests they have a common abstract relationship, but a method needs to be part of an extension to handle the variations in the layouts.

When we think about the DDice class, there's yet another enhancement that would be nice. Right now, the operators are all defined for DDice instances only. In order to create a hand of dice, we need to – somewhere – use a DDice constructor. This...

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