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 |
|---|---|---|
| CVE-2017-12852-pad-empty-array-infinite-loop.patch | 0000002070 2.02 KB | |
| 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 | 0000011828 11.6 KB | |
| python-numpy.spec | 0000006175 6.03 KB |
Latest Revision
Marcus Rueckert (darix)
committed
(revision 4)
Set link to python-numpy-doc.26461 via maintenance_release request
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