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Expert Python Programming

You're reading from   Expert Python Programming Become a master in Python by learning coding best practices and advanced programming concepts in Python 3.7

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789808896
Length 646 pages
Edition 3rd Edition
Languages
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Authors (2):
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Michał Jaworski Michał Jaworski
Author Profile Icon Michał Jaworski
Michał Jaworski
Tarek Ziadé Tarek Ziadé
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Tarek Ziadé
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Toc

Table of Contents (25) Chapters Close

Preface 1. Section 1: Before You Start
2. Current Status of Python FREE CHAPTER 3. Modern Python Development Environments 4. Section 2: Python Craftsmanship
5. Modern Syntax Elements - Below the Class Level 6. Modern Syntax Elements - Above the Class Level 7. Elements of Metaprogramming 8. Choosing Good Names 9. Writing a Package 10. Deploying the Code 11. Python Extensions in Other Languages 12. Section 3: Quality over Quantity
13. Managing Code 14. Documenting Your Project 15. Test-Driven Development 16. Section 4: Need for Speed
17. Optimization - Principles and Profiling Techniques 18. Optimization - Some Powerful Techniques 19. Concurrency 20. Section 5: Technical Architecture
21. Event-Driven and Signal Programming 22. Useful Design Patterns 23. reStructuredText Primer 24. Other Books You May Enjoy

What is metaprogramming?

Maybe there is a good academic definition of metaprogramming that we can cite here, but this is a book that is more about good software craftsmanship than about computer science theory. This is why we will use the following simple definition:

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

Using this definition, we can distinguish between 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 really provides a lot of tools in this area. This feature of the Python language is used by IDEs (such as PyCharm) to provide real-time code analysis and name suggestions...

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