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README

README 2.0 KB
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  1. NumPy is a general-purpose array-processing package designed to
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  2. efficiently manipulate large multi-dimensional arrays of arbitrary
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  3. records without sacrificing too much speed for small multi-dimensional
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  4. arrays.  NumPy is built on the Numeric code base and adds features
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  5. introduced by numarray as well as an extended C-API and the ability
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  6. to create arrays of arbitrary type which also makes NumPy suitable for
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  7. interfacing with general-purpose data-base applications.
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  8. 

  9. There are also basic facilities for discrete fourier transform, basic
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  10. linear algebra and random number generation.
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  11. 

  12. If you need to build numpy for debugging, set DEBUG=y. If you use
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  13. software which is having problems with numpy's new relaxed strides
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  14. checking, set NPY_RSC=0.
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  15. 

  16. It is highly recommended to install libraries implementing BLAS and
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  17. LAPACK before installing numpy. You may choose between:
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  18.    a) BLAS and LAPACK (reference but unoptimized and thus slow)
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  19.    b) OpenBLAS (optimized, provides LAPACK too)
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  20.    c) ATLAS and LAPACK (optimized), good to read README.ATLAS
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  21. ATLAS and the corresponding optimized LAPACK are not available on
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  22. SlackBuilds.org because the latest stable and rather old release of
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  23. ATLAS doesn't compile on the present Slackware version.
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  24. 

  25. If you want to use the UMFPACK library instead of SuperLU to solve
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  26. unsymmetric sparse linear systems, then run this Slackbuild with
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  27. NO_UMFPACK set to "no" and then install scikit-umfpack on top of
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  28. scipy. In this context, umfpack is an optional dependency for
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  29. numpy.
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  30. 

  31. This SlackBuild installs the last numpy version with support for
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  32. python2.
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  33. 

  34. IMPORTANT: The version installed by this SlackBuild does NOT include the
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  35.            oldnumeric and numarray compatibility modules since
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  36.            starting with version 1.9.0 these modules got removed by
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  37.            the numpy developers.  If you need these compatibility
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  38.            modules please consider the numpy-legacy SlackBuild.
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  39.            THUS: This SlackBuild conflicts with the numpy-legacy
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  40.                  SlackBuild which installs versions < 1.9.0!
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  41.