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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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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

Before diving into exercises for each design pattern, take a moment to add the os and pathlib calls to implement the methods for the File and Folder objects in the section on The Composite pattern. The copy() method on File will need to read and write the bytes of a file. The copy() method on Folder is quite a bit more complicated, as you first have to duplicate the folder, and then recursively copy each of its children to the new location. The examples we provided update the internal data structure, but don't apply changes to the operating system. Be careful about testing this in isolated directories. You don't want to accidentally destroy important files.

Now, as in the previous chapter, look at the patterns we've discussed and consider ideal places where you might implement them. You may want to apply the Adapter pattern to existing code, as it is usually applicable when interfacing with existing...

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