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.
- Sources inherited from project SUSE:SLE-12:GA
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Filename | Size | Changed | Actions |
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numpy-1.8.0.tar.gz | 0003779617 3.6 MB | about 6 years | |
numpy-buildfix.patch | 0000000642 642 Bytes | about 6 years | |
numpy-double-double-le.patch | 0000003697 3.61 KB | about 6 years | |
python-numpy-doc.changes | 0000002904 2.84 KB | about 5 years | |
python-numpy-doc.spec | 0000004789 4.68 KB | almost 6 years | |
python-numpy.changes | 0000009922 9.69 KB | about 6 years | |
python-numpy.spec | 0000004536 4.43 KB | almost 6 years |
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