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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

Dependency inversion

This is a really powerful idea that will come up again later when we explore some design patterns in Chapter 9, Common Design Patterns, and Chapter 10, Clean Architecture.

The dependency inversion principle (DIP) proposes an interesting design principle by which we protect our code by making it independent of things that are fragile, volatile, or out of our control. The idea of inverting dependencies is that our code should not adapt to details or concrete implementations, but rather the other way around: we want to force whatever implementation or detail to adapt to our code via a sort of API.

Abstractions have to be organized in such a way that they do not depend on details, but rather the other way around—the details (concrete implementations) should depend on abstractions.

Imagine that two objects in our design need to collaborate, A and B. A works with an instance of B, but as it turns out, our module doesn't control B directly...

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