ohpc-python-libs-intel

ohpc-python-libs-intel

OpenHPC python related library builds for use with Intel Parallel Studio toolchain OpenHPC:1.2:Factory

Rolling development build

http://build.openhpc.community/OpenHPC:/1.2:/Factory/SLE_12_SP1/ openSUSE.org:SUSE:SLE-12-SP1:GA http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12-SP1:/GA/standard/ Licenses

http://build.openhpc.community/Licenses/standard/ NonFree:PXSE:2017

http://build.openhpc.community/NonFree:/PXSE:/2017/SLE_12_SP1/ OPA:10.2.0.0.158

http://build.openhpc.community/OPA:/10.2.0.0.158/SLE_12_SP1/ openSUSE.org:SUSE:SLE-12:SLE-Module-Toolchain http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/SLE-Module-Toolchain/standard/ openSUSE.org:SUSE:SLE-12:Update http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/Update/standard/ openSUSE.org:SUSE:SLE-12:SLE-Module-Toolchain http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/SLE-Module-Toolchain/update/ openSUSE.org:SUSE:SLE-12:GA http://build.openhpc.community/openSUSE.org:/SUSE:/SLE-12:/GA/standard/ python-numpy-intel-ohpc

NumPy array processing for numbers, strings, records and objects

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 interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.