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.
- Developed at devel:languages:python:numeric
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Source Files
Filename | Size | Changed |
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numpy-1.3.0.tar.bz2 | 0001666680 1.59 MB | |
numpy-buildfix.patch | 0000000392 392 Bytes | |
python-numpy.changes | 0000002811 2.75 KB | |
python-numpy.spec | 0000004645 4.54 KB | |
ready | 0000000000 0 Bytes | |
rpmlintrc | 0000000068 68 Bytes |
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