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Clean Code in Python

You're reading from   Clean Code in Python Refactor your legacy code base

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781788835831
Length 332 pages
Edition 1st 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 (12) Chapters Close

Preface 1. Introduction, Code Formatting, and Tools FREE CHAPTER 2. Pythonic Code 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. Using Generators 8. Unit Testing and Refactoring 9. Common Design Patterns 10. Clean Architecture 11. Other Books You May Enjoy

Descriptors in action

Now that we have seen what descriptors are, how they work, and what the main ideas behind them are, we can see them in action. In this section, we will be exploring some situations that can be elegantly addressed through descriptors.

Here, we will look at some examples of working with descriptors, and we will also cover implementation considerations for them (different ways of creating them, with their pros and cons), and finally we will discuss what the most suitable scenarios for descriptors are.

An application of descriptors

We will start with a simple example that works, but that will lead to some code duplication. It is not very clear how this issue will be addressed. Later on, we will devise a way...

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