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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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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

Different language means – C or C++


When we talk about extensions in different languages, we think almost exclusively about C and C++. Even tools such as Cython or Pyrex that provide Python language supersets only for the purpose of extensions are in fact source-to-source compilers that generate the C code from extended Python-like syntax.

It's true that you can use dynamic/shared libraries written in any language in Python if only such compilation is possible and so it goes a way beyond C and C++. But shared libraries are intrinsically generic. They can be used in any language that supports their loading. So, even if you write such a library in a completely different language (let's say Delphi or Prolog), it is hard to name such library a Python extension if it does not use the Python/C API.

Unfortunately, writing your own extensions only in C or C++ using the bare Python/C API is quite demanding. Not only because it requires a good understanding of one of the two languages that are relatively...

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