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Python 3 Object-Oriented Programming

You're reading from   Python 3 Object-Oriented Programming Build robust and maintainable software with object-oriented design patterns in Python 3.8

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789615852
Length 466 pages
Edition 3rd 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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Table of Contents (15) Chapters Close

Preface 1. Object-Oriented Design FREE CHAPTER 2. Objects in Python 3. When Objects Are Alike 4. Expecting the Unexpected 5. When to Use Object-Oriented Programming 6. Python Data Structures 7. Python Object-Oriented Shortcuts 8. Strings and Serialization 9. The Iterator Pattern 10. Python Design Patterns I 11. Python Design Patterns II 12. Testing Object-Oriented Programs 13. Concurrency 14. Other Books You May Enjoy

Treat objects as objects

This may seem obvious; you should generally give separate objects in your problem domain a special class in your code. We've seen examples of this in the case studies in previous chapters: first, we identify objects in the problem, and then model their data and behaviors.

Identifying objects is a very important task in object-oriented analysis and programming. But it isn't always as easy as counting the nouns in short paragraphs that, frankly, I have constructed explicitly for that purpose. Remember, objects are things that have both data and behavior. If we are working only with data, we are often better off storing it in a list, set, dictionary, or other Python data structure (which we'll be covering thoroughly in Chapter 6, Python Data Structures). On the other hand, if we are working only with behavior, but no stored data, a simple function...

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