2018-05-31 07:32:07 +08:00
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NumPy is a general-purpose array-processing package designed to efficiently
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manipulate large multi-dimensional arrays of arbitrary records without
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sacrificing too much speed for small multi-dimensional arrays. NumPy is built
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on the Numeric code base and adds features introduced by numarray as well as an
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extended C-API and the ability to create arrays of arbitrary type which also
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makes NumPy suitable for interfacing with general-purpose data-base
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applications.
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2014-10-28 09:09:34 +08:00
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2018-05-31 07:32:07 +08:00
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There are also basic facilities for discrete fourier transform, basic linear
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algebra and random number generation.
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2012-09-14 09:56:46 +08:00
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2016-08-26 08:10:35 +08:00
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If you need to build numpy for debugging, set DEBUG=y. If you use software
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which is having problems with numpy's new relaxed strides checking, set
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NPY_RSC=0.
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2014-10-28 09:09:34 +08:00
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2016-08-26 08:10:35 +08:00
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It is highly recommended to install libraries implementing BLAS and LAPACK
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before installing numpy. You may choose between:
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2018-05-31 07:32:07 +08:00
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a) blas and lapack (reference but unoptimized and thus slow)
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2016-08-26 08:10:35 +08:00
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b) OpenBLAS (optimized, provides LAPACK too)
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2018-05-31 07:32:07 +08:00
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c) atlas and lapack (optimized), good to read README.ATLAS
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2016-08-26 08:10:35 +08:00
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All these are available on SlackBuilds.org.
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2014-10-28 09:09:34 +08:00
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2016-08-26 08:10:35 +08:00
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If you want to use the UMFPACK library instead of SuperLU to solve unsymmetric
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sparse linear systems, then run this Slackbuild with NO_UMFPACK set to "no"
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2018-05-31 07:32:07 +08:00
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and then install scikit-umfpack on top of scipy. In this context, umfpack is an
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2016-08-26 08:10:35 +08:00
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optional dependency for numpy. Nevertheless, note that presently scikit-umfpack
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2018-05-31 07:32:07 +08:00
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is not available on SlackBuilds.org.
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2016-08-26 08:10:35 +08:00
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NOTE: If you use this SlackBuild, numpy will run with the python version
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provided by Slackware Linux, which is presently 2.7.xx. If you'd like to
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2018-05-31 07:32:07 +08:00
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use python 3.x then you have to install the numpy3 SlackBuild.
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2016-08-26 08:10:35 +08:00
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IMPORTANT: The version installed by this SlackBuild does NOT include the
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2014-10-28 09:09:34 +08:00
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oldnumeric and numarray compatibility modules since starting with
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version 1.9.0 these modules got removed by the numpy developers.
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If you need these compatibility modules please consider the
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numpy-legacy SlackBuild.
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THUS: This SlackBuild conflicts with the numpy-legacy SlackBuild
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which installs versions < 1.9.0!
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