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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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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

Callable objects

It is possible (and often convenient) to define objects that can act as functions. One of the most common applications for this is to create better decorators, but it's not limited to that.

The magic method __call__ will be called when we try to execute our object as if it were a regular function. Every argument passed to it will be passed along to the __call__ method.

The main advantage of implementing functions this way, through objects, is that objects have states, so we can save and maintain information across calls.

When we have an object, a statement like this object(*args, **kwargs) is translated in Python to object.__call__(*args, **kwargs).

This method is useful when we want to create callable objects that will work as parametrized functions, or in some cases functions with memory.

The following listing uses this method to construct an object that...

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