2010-05-11 22:22:41 +02:00
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NumPy is a general-purpose array-processing package designed to
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efficiently manipulate large multi-dimensional arrays of arbitrary
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records without sacrificing too much speed for small multi-dimensional
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arrays. NumPy is built on the Numeric code base and adds features
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introduced by numarray as well as an extended C-API and the ability to
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create arrays of arbitrary type which also makes NumPy suitable for
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interfacing with general-purpose data-base applications.
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2014-10-28 02:09:34 +01:00
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2010-05-11 22:22:41 +02:00
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There are also basic facilities for discrete fourier transform, basic
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linear algebra and random number generation.
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2012-09-14 03:56:46 +02:00
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2014-10-28 02:09:34 +01:00
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If you need to build numpy for debugging, set DEBUG=y. If software
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depending on numpy is having problems with the new relaxed strides
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checking, set NPY_RSC=0.
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It is highly recommended to install optimized BLAS and LAPACK libs
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before installing numpy. You may choose between ATLAS+LAPACK and
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OpenBLAS.
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IMPORTANT: The version installed by this SlackBuild doesn NOT include the
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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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