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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

Recall

We've explored a variety of built-in Python data structures in this chapter. Python lets us do a great deal of object-oriented programming without the overheads of numerous, potentially confusing, class definitions. We can rely on a number of built-in classes where they fit our problem.

In this chapter, we looked at the following:

  • Tuples and named tuples let us leverage a simple collection of attributes. We can extend the NamedTuple definition to add methods when those are necessary.
  • Dataclasses provide sophisticated collections of attributes. A variety of methods can be provided for us, simplifying the code we need to write.
  • Dictionaries are an essential feature, used widely in Python. There are many places where keys are associated with values. The syntax for using the built-in dictionary class makes it easy to use.
  • Lists and sets are also first-class parts of Python; our applications can make use of these.
  • We also looked at...
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