# The math/py-scipy port

## py-scipy-0.10.0 – maths, science and engineering modules for Python

## Description

    SciPy (pronounced "Sigh Pie") is open-source software for mathematics,
    science, and engineering.  It includes modules for statistics,
    optimization, integration, linear algebra, Fourier transforms, signal
    and image processing, genetic algorithms, ODE solvers, and more.  It
    is also the name of a very popular conference on scientific
    programming with Python.

    The SciPy library depends on NumPy, which provides convenient and fast
    N-dimensional array manipulation. The SciPy library is built to work
    with NumPy arrays, and provides many user-friendly and efficient
    numerical routines such as routines for numerical integration and
    optimization. Together, they run on all popular operating systems, are
    quick to install, and are free of charge. NumPy and SciPy are easy to
    use, but powerful enough to be depended upon by some of the world's
    leading scientists and engineers. If you need to manipulate numbers on
    a computer and display or publish the results, give SciPy a try!

WWW: http://numeric.scipy.org/

Broken
  on alpha: ICE in scipy/optimize/minpack/lmstr.f:462 on hppa: ICE in scipy/special/specfun/specfun.f:5151 on sparc64: ICE in scipy/optimize/minpack/qrsolv.f:189
Categories:
  devel lang/python math

## Library dependencies

- devel/libf2c
- math/amd
- math/arpack
- math/umfpack

## Build dependencies

- STEM->=1.6.0:math/py-numpy
- devel/libf2c
- devel/py-setuptools
- devel/py-setuptools
- devel/py-setuptools
- devel/swig
- lang/g77
- lang/python/2.7
- lang/python/2.7

## Run dependencies

- STEM->=1.6.0:math/py-numpy
- devel/py-setuptools
- devel/swig
- lang/python/2.7