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README

README 2.2 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 to
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  6. 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 software
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  13. which is having problems with numpy's new relaxed strides checking, set
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  14. NPY_RSC=0.
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  15. 

  16. It is highly recommended to install libraries implementing BLAS and LAPACK
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  17. 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. All these are available on SlackBuilds.org.
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  22. 

  23. If you want to use the UMFPACK library instead of SuperLU to solve unsymmetric
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  24. sparse linear systems, then run this Slackbuild with NO_UMFPACK set to "no"
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  25. and then install scikit-umfpack on top of scipy. In this context, UMFPACK is an
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  26. optional dependency for numpy. Nevertheless, note that presently scikit-umfpack
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  27. is not available on SlackBuilds.org while its dependencies are.
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  28. 

  29. NOTE: If you use this SlackBuild, numpy will run with the python version
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  30.       provided by Slackware Linux, which is presently 2.7.xx. If you'd like to
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  31.       use python 3.x then you have to install numpy with the numpy3 SlackBuild.
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  32. 

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

  41. This numpy3 SlackBuild creates bindings for python3 and can be installed
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  42. without conflict alongside the standard numpy SlackBuild.
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  43.