SUSE Package Hub 15 SP1 one-click install Install python-numpy_1_14_0-gnu-hpc NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled. See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension If the extension is not enabled, this installation will fail while trying to enable an invalid repo. This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered. SUSE-PackageHub-15-SP1-Backports-Pool Package Hub 15 SP1 Dummy repo - this will fail python-numpy_1_14_0-gnu-hpc 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. SUSE Package Hub 15 SP1 one-click install Install python-numpy_1_14_0-gnu-hpc NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled. See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension If the extension is not enabled, this installation will fail while trying to enable an invalid repo. This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered. SUSE-PackageHub-15-SP1-Backports-Pool Package Hub 15 SP1 Dummy repo - this will fail python-numpy_1_14_0-gnu-hpc 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.