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.

Source Files
Filename Size Changed Actions
numpy-1.8.0.tar.gz 0003779617 3.6 MB over 6 years
numpy-buildfix.patch 0000000642 642 Bytes over 6 years
numpy-double-double-le.patch 0000003697 3.61 KB about 6 years
python-numpy-doc.changes 0000002904 2.84 KB over 5 years
python-numpy-doc.spec 0000004789 4.68 KB about 6 years
python-numpy.changes 0000009922 9.69 KB about 6 years
python-numpy.spec 0000004536 4.43 KB about 6 years
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