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Expert Python Programming

You're reading from   Expert Python Programming Write professional, efficient and maintainable code in Python

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Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781785886850
Length 536 pages
Edition 2nd Edition
Languages
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Author (1):
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Michał Jaworski Michał Jaworski
Author Profile Icon Michał Jaworski
Michał Jaworski
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Toc

Table of Contents (16) Chapters Close

Preface 1. Current Status of Python FREE CHAPTER 2. Syntax Best Practices – below the Class Level 3. Syntax Best Practices – above the Class Level 4. Choosing Good Names 5. Writing a Package 6. Deploying Code 7. Python Extensions in Other Languages 8. Managing Code 9. Documenting Your Project 10. Test-Driven Development 11. Optimization – General Principles and Profiling Techniques 12. Optimization – Some Powerful Techniques 13. Concurrency 14. Useful Design Patterns Index

Metaprogramming

There may be a good definition of metaprogramming from some academy paper that could be cited here, but this is rather a book about good software craftsmanship than about computer science theory. This is why we will use a simple one:

"Metaprogramming is a technique of writing computer programs that can treat themselves as data, so you can introspect, generate, and/or modify itself while running."

Using this definition, we can distinguish two major approaches to metaprogramming in Python.

The first approach concentrates on the language's ability to introspect its basic elements such as functions, classes, or types and to create or modify them on the fly. Python gives a lot of tools to developers in this area. The easiest ones are decorators that allow to add additional functionality to the existing functions, methods, or classes. Next are special methods of classes that allow you to interfere with class instance process creation. The most powerful are metaclasses...

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