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Learning SciPy for Numerical and Scientific Computing Second Edition

You're reading from   Learning SciPy for Numerical and Scientific Computing Second Edition Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy

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Product type Paperback
Published in Feb 2015
Publisher Packt
ISBN-13 9781783987702
Length 188 pages
Edition 2nd Edition
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Summary


This chapter introduced one of the main strengths of SciPy—the ability to interact with other languages such as C/C++, Fortran, R, and MATLAB/Octave. To go in depth into interfacing Python with other languages, you might want to read more specialized literature like Learning Cython Programming, Philip Herron, Packt Publishing or the in-depth coverage of F2PY at http://docs.scipy.org/doc/numpy/f2py/ and http://www.f2py.com/home/references. Additional help can be found at https://wiki.python.org/moin/IntegratingPythonWithOtherLanguages.

If you have reached this chapter and have been reading from the first one, you should be aware that many topics were left out in this introductory chapter on SciPy. This book has given you enough background to further strengthen your skills and ability to work with SciPy. To proceed studying, refer to the SciPy Reference Guide (http://docs.scipy.org/doc/scipy/reference/) and other documentation guides available at (http://docs.scipy.org/doc/).

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