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Learning Cython Programming (Second Edition)

You're reading from   Learning Cython Programming (Second Edition) Expand your existing legacy applications in C using Python

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Product type Paperback
Published in Feb 2016
Publisher Packt
ISBN-13 9781783551675
Length 110 pages
Edition 2nd Edition
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Author (1):
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Philip Herron Philip Herron
Author Profile Icon Philip Herron
Philip Herron
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Cython and C++


Cython, above all binding generators, works with C++ the most seamlessly. C++ has some complexity when writing bindings for it, such as calling conventions, templates, and classes. I find this exception handling to be a shining feature of Cython, and we will look at the examples of each.

Namespaces

I am introducing namespaces first because Cython uses namespaces as a way to reference C++ code within your module. Consider this C++ header with the following namespace:

#ifndef __MY_HEADER_H__
#define __MY_HEADER_H__

namespace mynamespace {
….
}

#endif //__MY_HEADER_H__

You will wrap this with the cdef extern declaration:

cdef extern from "header.h" namespace "mynamespace":

You can now address it in Cython as you normally would do for a module:

import cythonfile
cythonfile.mynamespace.attribute

It really feels like a Python module simply by using a namespace.

Classes

I would take a guess that most of your C++ code revolves around using classes. Being an object-oriented language...

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