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Using SWIG to Bind C++ to Python
March/April 2003 (vol. 5 no. 2)
pp. 88-96, c3
Teresa L. Cottom, Lawrence Livermore National Laboratory

An increasingly popular approach to scientific computing is to combine python and compiled modules. Such an approach merges the high performance typically found in compiled routines with the interface flexible, scalable, and easy-to-learn interpreted language. Although using c to hand-code extensions python binds the latter to a given compiled asset in C++, programmers who used C++'s more advanced features until recently) lacked the automated support available Fortran and C.

Citation:
Teresa L. Cottom, "Using SWIG to Bind C++ to Python," Computing in Science and Engineering, vol. 5, no. 2, pp. 88-96, c3, March-April 2003, doi:10.1109/MCISE.2003.1182968
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