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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

Exercises

This is a practical book. As such, we're not assigning a bunch of fake object-oriented analysis problems to create designs for you to analyze and design. Instead, we want to give you some ideas that you can apply to your own projects. If you have previous object-oriented experience, you won't need to put much effort into this chapter. However, they are useful mental exercises if you've been using Python for a while, but have never really cared about all that class stuff.

First, think about a recent programming project you've completed. Identify the most prominent object in the design. Try to think of as many attributes for this object as possible. Did it have the following: Color? Weight? Size? Profit? Cost? Name? ID number? Price? Style?

Think about the attribute types. Were they primitives or classes? Were some of those attributes actually behaviors in disguise? Sometimes, what looks like data is actually calculated from other data on the object...

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