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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

Metaclasses

In this section, we'll look at metaclasses, which affect the creation of class objects right from the beginning.

Like class decorators, metaclasses are a tool we can use to adjust the basic meaning of a class. In concept though, they're very different. A class decorator takes an already created class and transforms it in some way. A metaclass, on the other hand, can affect how a class is created, how it behaves, and even how classes that inherit from the modified class are created and behave.

To understand metaclasses, first we have to grasp the idea that classes are objects, and more than that, they are instances of another class called type. Whenever we create a new class, we create an instance of type, unless the class has a metaclass, as shown here:

If the class we're creating as a metaclass is specified or inherits a metaclass from its ancestors...

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