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Mastering Python

You're reading from   Mastering Python Master the art of writing beautiful and powerful Python by using all of the features that Python 3.5 offers

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Product type Paperback
Published in Apr 2016
Publisher Packt
ISBN-13 9781785289729
Length 486 pages
Edition 1st Edition
Languages
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Author (1):
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Rick Hattem Rick Hattem
Author Profile Icon Rick Hattem
Rick Hattem
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Table of Contents (17) Chapters Close

Preface 1. Getting Started – One Environment per Project FREE CHAPTER 2. Pythonic Syntax, Common Pitfalls, and Style Guide 3. Containers and Collections – Storing Data the Right Way 4. Functional Programming – Readability Versus Brevity 5. Decorators – Enabling Code Reuse by Decorating 6. Generators and Coroutines – Infinity, One Step at a Time 7. Async IO – Multithreading without Threads 8. Metaclasses – Making Classes (Not Instances) Smarter 9. Documentation – How to Use Sphinx and reStructuredText 10. Testing and Logging – Preparing for Bugs 11. Debugging – Solving the Bugs 12. Performance – Tracking and Reducing Your Memory and CPU Usage 13. Multiprocessing – When a Single CPU Core Is Not Enough 14. Extensions in C/C++, System Calls, and C/C++ Libraries 15. Packaging – Creating Your Own Libraries or Applications Index

Order of operations when instantiating classes


The order of operations during class instantiation is very important to keep in mind when debugging issues with dynamically created and/or modified classes. The instantiation of a class happens in the following order.

Finding the metaclass

The metaclass comes from either the explicitly given metaclass on the class or bases, or by using the default type metaclass.

For every class, the class itself and the bases, the first matching of the following will be used:

  • Explicitly given metaclass

  • Explicit metaclass from bases

  • type()

    Note

    Note that if no metaclass is found that is a subtype of all the candidate metaclasses, a TypeError will be raised. This scenario is not that likely to occur but certainly a possibility when using multiple inheritance/mixins with metaclasses.

Preparing the namespace

The class namespace is prepared through the metaclass selected previously. If the metaclass has a __prepare__ method, it will be called namespace = metaclass.__prepare__...

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