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 Actions
numpy-1.9.0-remove-__declspec.patch 0000001011 1011 Bytes over 5 years
numpy-1.9.3.tar.gz 0003984430 3.8 MB over 4 years
numpy-buildfix.patch 0000000649 649 Bytes over 5 years
python3-numpy-doc.changes 0000007214 7.04 KB over 4 years
python3-numpy-doc.spec 0000003016 2.95 KB over 4 years
python3-numpy.changes 0000010207 9.97 KB over 4 years
python3-numpy.spec 0000004176 4.08 KB over 4 years
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