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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

Some key points in this chapter:

  • Python has optional type hints to help describe how data objects are related and what the parameters should be for methods and functions.
  • We create Python classes with the class statement. We should initialize the attributes in the special __init__() method.
  • Modules and packages are used as higher-level groupings of classes.
  • We need to plan out the organization of module content. While the general advice is "flat is better than nested," there are a few cases where it can be helpful to have nested packages.
  • Python has no notion of "private" data. We often say "we're all adults here"; we can see the source code, and private declarations aren't very helpful. This doesn't change our design; it simply removes the need for a handful of keywords.
  • We can install third-party packages using PIP tools. We can create a virtual environment, for example, with venv.
You have been reading a chapter from
Python Object-Oriented Programming - Fourth Edition
Published in: Jul 2021
Publisher: Packt
ISBN-13: 9781801077262
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