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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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.
| Package | Summary | Distribution | Download |
| python36-numpy-1.12.1-3.el7.ppc64le.html | A fast multidimensional array facility for Python 3.6 | EPEL 7 for ppc64le | python36-numpy-1.12.1-3.el7.ppc64le.rpm |
| python36-numpy-1.12.1-3.el7.x86_64.html | A fast multidimensional array facility for Python 3.6 | EPEL 7 for x86_64 | python36-numpy-1.12.1-3.el7.x86_64.rpm |
| python36-numpy-1.12.1-1.el7.aarch64.html | A fast multidimensional array facility for Python 3.6 | EPEL 7 for aarch64 | python36-numpy-1.12.1-1.el7.aarch64.rpm |
| python36-numpy-1.12.1-1.el7.ppc64.html | A fast multidimensional array facility for Python 3.6 | EPEL 7 Testing for ppc64 | python36-numpy-1.12.1-1.el7.ppc64.rpm |
| python36-numpy-1.10.4-7.el7.ppc64.html | A fast multidimensional array facility for Python 3.6 | EPEL 7 for ppc64 | python36-numpy-1.10.4-7.el7.ppc64.rpm |
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