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You're reading from  Learning Cython Programming (Second Edition) - Second Edition

Product typeBook
Published inFeb 2016
Reading LevelBeginner
PublisherPackt
ISBN-139781783551675
Edition2nd Edition
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Philip Herron
Philip Herron
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Philip Herron

Philip Herron is a developer who focuses his passion toward compilers and virtual machine implementations. When he was first accepted to Google Summer of Code 2010, he used inspiration from Paul Biggar's PhD on the optimization of dynamic languages to develop a proof of the concept GCC frontend to compile Python. This project sparked his deep interest in how Python works. After completing a consecutive year on the same project in 2011, Philip applied to Cython under the Python foundation to gain a deeper appreciation of the standard Python implementation. Through this he started leveraging the advantages of Python to control the logic in systems or even add more high-level interfaces, such as embedding Flask web servers in a REST API to a system-level piece of software, without writing any C code. Philip currently works as a software consultant for Instil Software based in Northern Ireland. He develops mobile applications with embedded native code for video streaming. Instil has given him a lot of support in becoming a better engineer. He has written several tutorials for the UK-based Linux Format magazine on Python and loves to share his passion for the Python programming language.
Read more about Philip Herron

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Python garbage collector


When wrapping up native structs, for example, it can be very tempting to follow standard C/C++ idioms and require the Python programmer to call, allocate, and release manually on different objects. This is very tedious and not very Pythonic. Cython allows us to create cdef classes, which have extra hooks for initialization and deallocation that we can use to control all memory management of structs. These hooks are triggered automatically by the Python garbage collector, making everything nice and simple. Consider the following simple struct:

typedef struct data {
  int value;
} data_t;

We can then write the Cython declaration of the C struct into PyData.pxd as follows:

cdef extern from "Data.h":
    struct data:
        int value
    ctypedef data data_t

Now that we have defined the struct, we can wrap up the struct into a class:

cimport PyData

cdef class Data(object):
    cdef PyData.data_t * _nativeData
    …

Wrapping up data into a class like this will require us...

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Learning Cython Programming (Second Edition) - Second Edition
Published in: Feb 2016Publisher: PacktISBN-13: 9781783551675

Author (1)

author image
Philip Herron

Philip Herron is a developer who focuses his passion toward compilers and virtual machine implementations. When he was first accepted to Google Summer of Code 2010, he used inspiration from Paul Biggar's PhD on the optimization of dynamic languages to develop a proof of the concept GCC frontend to compile Python. This project sparked his deep interest in how Python works. After completing a consecutive year on the same project in 2011, Philip applied to Cython under the Python foundation to gain a deeper appreciation of the standard Python implementation. Through this he started leveraging the advantages of Python to control the logic in systems or even add more high-level interfaces, such as embedding Flask web servers in a REST API to a system-level piece of software, without writing any C code. Philip currently works as a software consultant for Instil Software based in Northern Ireland. He develops mobile applications with embedded native code for video streaming. Instil has given him a lot of support in becoming a better engineer. He has written several tutorials for the UK-based Linux Format magazine on Python and loves to share his passion for the Python programming language.
Read more about Philip Herron