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Expert Python Programming – Fourth Edition

You're reading from   Expert Python Programming – Fourth Edition Master Python by learning the best coding practices and advanced programming concepts

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Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781801071109
Length 630 pages
Edition 4th Edition
Languages
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Authors (3):
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Michał Jaworski Michał Jaworski
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Michał Jaworski
Tarek Ziade Tarek Ziade
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Tarek Ziadé Tarek Ziadé
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Tarek Ziadé
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Toc

Table of Contents (16) Chapters Close

Preface 1. Current Status of Python 2. Modern Python Development Environments 3. New Things in Python 4. Python in Comparison with Other Languages 5. Interfaces, Patterns, and Modularity FREE CHAPTER 6. Concurrency 7. Event-Driven Programming 8. Elements of Metaprogramming 9. Bridging Python with C and C++ 10. Testing and Quality Automation 11. Packaging and Distributing Python Code 12. Observing Application Behavior and Performance 13. Code Optimization 14. Other Books You May Enjoy
15. Index

Code generation

As we already mentioned, dynamic code generation is the most difficult approach to metaprogramming. There are tools in Python that allow you to generate and execute code or even make some modifications to already compiled code objects.

Various projects such as Hy (mentioned later) show that even whole languages can be reimplemented in Python using code generation techniques. This proves that the possibilities are practically limitless. Knowing how vast this topic is and how badly it is riddled with various pitfalls, I won't even try to give detailed suggestions on how to create code this way, or to provide useful code samples.

Anyway, knowing what is possible may be useful for you if you plan to study this field in more depth by yourself. So, treat this section only as a short summary of possible starting points for further learning.

Let's take a look at how to use the exec(), eval(), and compile() functions.

exec, eval, and compile

...
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