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!
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