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Clean Code in Python

You're reading from   Clean Code in Python Develop maintainable and efficient code

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Product type Paperback
Published in Jan 2021
Publisher Packt
ISBN-13 9781800560215
Length 422 pages
Edition 2nd Edition
Languages
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Author (1):
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Mariano Anaya Mariano Anaya
Author Profile Icon Mariano Anaya
Mariano Anaya
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction, Code Formatting, and Tools 2. Pythonic Code FREE CHAPTER 3. General Traits of Good Code 4. The SOLID Principles 5. Using Decorators to Improve Our Code 6. Getting More Out of Our Objects with Descriptors 7. Generators, Iterators, and Asynchronous Programming 8. Unit Testing and Refactoring 9. Common Design Patterns 10. Clean Architecture 11. Other Books You May Enjoy
12. Index

Final remarks about descriptors

To wrap up our analysis on descriptors, I would like to share some thoughts in terms of clean code and good practices or recommendations from experience.

Interface of descriptors

When we revisited the interface segregation principle in Chapter 4, The SOLID Principles (the "I" in SOLID), we said that it's good practice to keep the interfaces small, and for that reason, we might want to separate them into smaller ones.

This idea appears here once again, not in the sense of an interface as in an abstract base class, but as the interface that the descriptor itself will present.

As already mentioned, the descriptor protocol entails four methods, but partial implementation is allowed. That means you don't need to implement all of them all the time. In fact, if you only implement the minimal required methods, that would be better.

Most of the time, you'll find that you can address your requirements by only implementing...

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