SlackBuilds Repository

14.1 > Development > numpy-legacy (1.8.2)

NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays.  NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type which also makes NumPy suitable for
interfacing with general-purpose data-base applications.

There are also basic facilities for discrete fourier transform, basic
linear algebra and random number generation.

If you need to build numpy for debugging, set DEBUG=y. If software
depending on numpy is having problems with the new relaxed strides
checking, set NPY_RSC=0.

It is highly recommended to install optimized BLAS and LAPACK libs
before installing numpy. You may choose between ATLAS+LAPACK and
OpenBLAS.

IMPORTANT: This version, 1.8.2, is the latest to include the oldnumeric
           and numarray compatibility modules. Starting with version
           1.9.0 these modules got removed by the numpy developers.
           THUS: This SlackBuild conflicts with the numpy SlackBuild
                 which installs versions >= 1.9.0!

Maintained by: Serban Udrea
Keywords: python,scientific computing,array,matrix,mathematical functions,Fortran wrapper,academic
ChangeLog: numpy-legacy