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Daniel Arbuckle???s Mastering Python

You're reading from   Daniel Arbuckle???s Mastering Python Build powerful Python applications

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787283695
Length 274 pages
Edition 1st Edition
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Author (1):
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Daniel Arbuckle Daniel Arbuckle
Author Profile Icon Daniel Arbuckle
Daniel Arbuckle
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Table of Contents (13) Chapters Close

Preface 1. Python Primer 2. Setting Up FREE CHAPTER 3. Making a Package 4. Basic Best Practices 5. Making a Command-Line Utility 6. Parallel Processing 7. Coroutines and Asynchronous I/O 8. Metaprogramming 9. Unit Testing 10. Reactive Programming 11. Microservices 12. Extension Modules and Compiled Code

Descriptors

In this section, we'll take a look at one last way of altering the semantics of a Python-based syntax, using descriptors. Reading and writing variables is one of the most fundamental aspects of programming. Python's descriptors let us alter how it works.

A descriptor is an object that is stored in a class and controls what it means to get, set, and delete a specific single attribute for instances of that class. If we want that sort of control over multiple attributes, we just add a descriptor to the class for each attribute we want to control.

Using @property to create a descriptor

Python's built-in @property decorator provides a simple way to create a descriptor. Let's consider an example ...

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