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Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org> |
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numpy.info | ||
numpy.SlackBuild | ||
README | ||
slack-desc |
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: The version installed by this SlackBuild doesn NOT include the oldnumeric and numarray compatibility modules since starting with version 1.9.0 these modules got removed by the numpy developers. If you need these compatibility modules please consider the numpy-legacy SlackBuild. THUS: This SlackBuild conflicts with the numpy-legacy SlackBuild which installs versions < 1.9.0!