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 |
---|---|---|
numpy-1.6.2.tar.gz | 0002585329 2.47 MB | |
numpy-buildfix.patch | 0000001078 1.05 KB | |
python-numpy-doc.changes | 0000000421 421 Bytes | |
python-numpy-doc.spec | 0000006254 6.11 KB | |
python-numpy.changes | 0000007057 6.89 KB | |
python-numpy.spec | 0000004400 4.3 KB | |
python3-numpy.changes | 0000001244 1.21 KB | |
python3-numpy.spec | 0000004645 4.54 KB |
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