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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 2. Syntax Best Practices – below the Class Level FREE CHAPTER 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

Writing extensions


As already said, writing extensions is not a simple task but in exchange for your hard work, it can give you a lot of advantages. The easiest and recommended approach to your own extensions is to use tools such as Cython or Pyrex or simply integrate the existing dynamic libraries with ctypes or cffi. These projects will increase your productivity and also make code easier to develop, read, and maintain.

Anyway, if you are new to this topic, it is good to know that you can start your adventure with extensions by writing one using nothing more than bare C code and Python/C API. This will improve your understanding of how extensions work and will also help you to appreciate the advantages of alternative solutions. For the sake of simplicity, we will take a simple algorithmic problem as an example and try to implement it using three different approaches:

  • Writing a pure C extension

  • Using Cython

  • Using Pyrex

Our problem will be finding the nth number of the Fibonacci sequence. It...

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