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.
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Source Files
Filename | Size | Changed |
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CVE-2019-6446_allow_pickle_False.patch | 0000001913 1.87 KB | |
CVE-2021-33430-bufovrflw-ctors-DoS.patch | 0000001308 1.28 KB | |
CVE-2021-41495-retval-PyArray_DescrNew.patch | 0000012351 12.1 KB | |
CVE-2021-41496-bufovrflw-fortranobject-DoS.patch | 0000001921 1.88 KB | |
numpy-1.8.0.tar.gz | 0003779617 3.6 MB | |
numpy-buildfix.patch | 0000000848 848 Bytes | |
numpy-double-double-le.patch | 0000003638 3.55 KB | |
python-numpy-doc.changes | 0000003129 3.06 KB | |
python-numpy-doc.spec | 0000003738 3.65 KB | |
python-numpy.changes | 0000011277 11 KB | |
python-numpy.spec | 0000005285 5.16 KB |
Latest Revision
Daniel Mach (dmach)
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(revision 1)
Release from SUSE:Maintenance:24870 / python-numpy.SUSE_SLE-12_Update
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