Introduction

SciPy is an open source library of algorithms and mathematical tools for the Python programming language that grew out of Travis Oliphant's original collection of extension modules for Python which he released in 1999 under the name Multipack (named for the netlib packages that it brought together such as ODEPACK, QUADPACK, and MINPACK).

SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering. It has a similar audience to applications such as MATLAB, GNU Octave, and Scilab.

SciPy is currently distributed under the BSD license and its development is sponsored by an open community of developers.

Usage

% /util/bin/python3
Python 3.3.0 (default, Mar 26 2013, 09:56:30) 
[GCC 4.1.2 20080704 (Red Hat 4.1.2-52)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from scipy import *
>>> quit()

% /util/bin/python2
Python 2.7.3 (default, Jun  4 2012, 09:52:59) 
[GCC 4.1.2 20080704 (Red Hat 4.1.2-52)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from scipy import *
>>> quit()

References

1. http://en.wikipedia.org/wiki/SciPy
2. http://www.scipy.org/
3. http://www.scipy.org/SciPy_Tutorial
4. http://docs.scipy.org/doc/scipy/reference/tutorial/