Python Previous Work

There a several available tools to creating a Python interface to a C or C++ library.

Ctypes

• http://docs.python.org/lib/module-ctypes.html

Pros

• No need for compiler.

Cons

• Difficult wrapping C++ due to mangling and object ABI.

SWIG

• http://www.swig.org/

PyBindgen

• https://github.com/gjcarneiro/pybindgen

• http://pybindgen.readthedocs.io/en/latest/

Cython

• http://cython.org

• https://cython.readthedocs.io/en/latest/

http://blog.kevmod.com/2020/05/python-performance-its-not-just-the-interpreter/

I ran Cython (a Python->C converter) on the previous benchmark, and it runs in exactly the same amount of time: 2.11s. I wrote a simplified C extension in 36 lines compared to Cython’s 3600, and it too runs in 2.11s.

SIP

Sip was developed to create PyQt.

• https://www.riverbankcomputing.com/software/sip/intro

Shiboken

Shiboken was developed to create PySide.

• https://wiki.qt.io/Qt_for_Python

• http://doc.qt.io/qtforpython/shiboken2/contents.html

Boost Python

• https://www.boost.org/doc/libs/1_66_0/libs/python/doc/html/index.html

Pybind11

• https://github.com/pybind/pybind11

• https://pybind11.readthedocs.io/en/stable/

Links

• Interfacing with C - Scipy lecture notes

• SciPy Cookbook