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Mastering Python

You're reading from   Mastering Python Master the art of writing beautiful and powerful Python by using all of the features that Python 3.5 offers

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Product type Paperback
Published in Apr 2016
Publisher Packt
ISBN-13 9781785289729
Length 486 pages
Edition 1st Edition
Languages
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Author (1):
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Rick Hattem Rick Hattem
Author Profile Icon Rick Hattem
Rick Hattem
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Table of Contents (17) Chapters Close

Preface 1. Getting Started – One Environment per Project FREE CHAPTER 2. Pythonic Syntax, Common Pitfalls, and Style Guide 3. Containers and Collections – Storing Data the Right Way 4. Functional Programming – Readability Versus Brevity 5. Decorators – Enabling Code Reuse by Decorating 6. Generators and Coroutines – Infinity, One Step at a Time 7. Async IO – Multithreading without Threads 8. Metaclasses – Making Classes (Not Instances) Smarter 9. Documentation – How to Use Sphinx and reStructuredText 10. Testing and Logging – Preparing for Bugs 11. Debugging – Solving the Bugs 12. Performance – Tracking and Reducing Your Memory and CPU Usage 13. Multiprocessing – When a Single CPU Core Is Not Enough 14. Extensions in C/C++, System Calls, and C/C++ Libraries 15. Packaging – Creating Your Own Libraries or Applications Index

Native C/C++ extensions

The libraries that we have used so far only showed us how to access a C/C++ library within our Python code. Now we are going to look at the other side of the story—how C/C++ functions/modules within Python are actually written and how modules such as cPickle and cProfile are created.

A basic example

Before we can actually start with writing and using native C/C++ extensions, we have a few prerequisites. First of all, we need the compiler and Python headers; the instructions in the beginning of this chapter should have taken care of this for us. After that, we need to tell Python what to compile. The setuptools package mostly takes care of this, but we do need to create a setup.py file:

import setuptools

spam = setuptools.Extension('spam', sources=['spam.c'])

setuptools.setup(
    name='Spam',
    version='1.0',
    ext_modules=[spam],
)

This tells Python that we have an Extension object named Spam that will be based on...

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