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| -rw-r--r-- | development/numpy-legacy/README | 31 |
1 files changed, 16 insertions, 15 deletions
diff --git a/development/numpy-legacy/README b/development/numpy-legacy/README index 0d3993e366b34..582c0ae5442ff 100644 --- a/development/numpy-legacy/README +++ b/development/numpy-legacy/README @@ -2,34 +2,35 @@ 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 +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 you use software -which is having problems with numpy's new relaxed strides checking, set -NPY_RSC=0. +If you need to build numpy for debugging, set DEBUG=y. If you use +software which is having problems with numpy's new relaxed strides +checking, set NPY_RSC=0. -It is highly recommended to install libraries implementing BLAS and LAPACK -before installing numpy. You may choose between: +It is highly recommended to install libraries implementing BLAS and +LAPACK before installing numpy. You may choose between: a) BLAS and LAPACK (reference but unoptimized and thus slow) b) OpenBLAS (optimized, provides LAPACK too) c) ATLAS and LAPACK (optimized), good to read README.ATLAS All these are available on SlackBuilds.org. -If you want to use the UMFPACK library instead of SuperLU to solve unsymmetric -sparse linear systems, then run this Slackbuild with NO_UMFPACK set to "no" -and then install scikit-umfpack on top of scipy. In this context, UMFPACK is an -optional dependency for numpy. Nevertheless, note that presently scikit-umfpack -is not available on SlackBuilds.org while its dependencies are. +If you want to use the UMFPACK library instead of SuperLU to solve +unsymmetric sparse linear systems, then run this Slackbuild with +NO_UMFPACK set to "no" and then install scikit-umfpack on top of +scipy. In this context, UMFPACK is an optional dependency for +numpy. Nevertheless, note that presently scikit-umfpack is not +available on SlackBuilds.org while its dependencies are. NOTE: If you use this SlackBuild, numpy will run with the python version - provided by Slackware Linux, which is presently 2.7.xx. If you'd like to - use python 3.x then you have to install numpy with the numpy-legacy3 - SlackBuild. + provided by Slackware Linux, which is presently 2.7.xx. If you'd + like to use python 3.x then you have to install numpy with the + numpy-legacy3 SlackBuild. IMPORTANT: This version, 1.8.2, is the latest to include the oldnumeric and numarray compatibility modules. Starting with version |