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  • Book Overview & Buying Learning Cython Programming (Second Edition)
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Learning Cython Programming (Second Edition)

Learning Cython Programming (Second Edition) - Second Edition

By : Philip Herron
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Learning Cython Programming (Second Edition)

Learning Cython Programming (Second Edition)

1 (1)
By: Philip Herron
Buy this Book

Overview of this book

Cython is a hybrid programming language used to write C extensions for Python language. Combining the practicality of Python and speed and ease of the C language it’s an exciting language worth learning if you want to build fast applications with ease. This new edition of Learning Cython Programming shows you how to get started, taking you through the fundamentals so you can begin to experience its unique powers. You’ll find out how to get set up, before exploring the relationship between Python and Cython. You’ll also look at debugging Cython, before moving on to C++ constructs, Caveat on C++ usage, Python threading and GIL in Cython. Finally, you’ll learn object initialization and compile time, and gain a deeper insight into Python 3, which will help you not only become a confident Cython developer, but a much more fluent Python developer too.
Table of Contents (8 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Cython Won't Bite
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1. Cython Won't Bite
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Installing Cython
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Getting started – Hello World
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Summary
2
2. Understanding Cython
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2. Understanding Cython
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Linking models
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Cython keyword – cdef
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Typedef and function pointers
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The public keyword
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Keyword cpdef
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Logging from C/C++ into Python
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Using Python ConfigParser from C/C++
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Callbacks from Python to C/C++
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Cython PXD
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Integration with build systems
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Summary
3
3. Extending Applications
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3. Extending Applications
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Cython pure Python code
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Compiling pure Python code
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Python garbage collector
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Extending Tmux
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Embedding Python
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Cythonizing struct cmd_entry
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Implementing a Tmux command
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Hooking everything together
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Summary
4
4. Debugging Cython
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4. Debugging Cython
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Using GDB with Cython
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Cython caveats
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Summary
5
5. Advanced Cython
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5. Advanced Cython
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Cython and C++
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C++ new and del keyword
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Overloading
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Templates
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Static class member attribute
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Calling C++ functions – Caveat
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Python distutils
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Python threading and GIL
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Cython keywords
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Messaging server
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Caveat on GIL
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Unit testing the native code
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Preventing subclassing
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Parsing large amounts of data
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Summary
6
6. Further Reading
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6. Further Reading
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Overview
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OpenMP support
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Compile time preprocessor
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Python 3
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PyPy
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AutoPXD
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Pyrex and Cython
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SWIG and Cython
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Cython and NumPy
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Numba versus Cython
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Parakeet and Numba
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Relevant Links
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Summary
7
Index
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Index

The public keyword

This is a very powerful keyword in Cython. It allows any cdef declaration with the public modifier to output a respective C/C++ header with the relative declaration accessible from C/C++. For example, we can declare:

cdef public struct CythonStruct:
    size_t number_of_elements;
    char ** elements;

Once the compiler handles this, you will have an output of cython_input.h:

 struct CythonStruct {
    size_t number_of_elements;
    char ** elements;
};

The main caveat, if you're going to call the Python public declarations directly from C, is that, if your link model is fully embedded and linked against libpython.so, you need to use some boilerplate code to initialize Python correctly:

#include <Python.h>

int main(int argc, char **argv) {
    Py_Initialize ();
    // code in here
    Py_Finalize ();
    return 0;
}

And before calling anything with the function, you need to initialize the Python module example if you have a cythonfile.pyx file, and compile it with...

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