Book Image

Learning SciPy for Numerical and Scientific Computing Second Edition

Book Image

Learning SciPy for Numerical and Scientific Computing Second Edition

Overview of this book

Table of Contents (15 chapters)
Learning SciPy for Numerical and Scientific Computing Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

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/).

In addition...