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 python-numpy: NumPy: array processing for numbers, strings, records, and objects.

Name:python-numpy
Release:1.4.1-1mamba
Architecture:i586
Group:System/Libraries/Python
Description:NumPy is the fundamental package needed for scientific computing with Python. It contains among other things:

* a powerful N-dimensional array object
* sophisticated (broadcasting) functions
* tools for integrating C/C++ and Fortran code
* useful linear algebra, Fourier transform, and random number capabilities.

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Size:8.56 MB
Download:python-numpy-1.4.1-1mamba.i586.rpm
Source RPM:python-numpy
Provides:_capi.so _compiled_base.so _sort.so fftpack_lite.so lapack_lite.so mtrand.so multiarray.so multiarray_tests.so scalarmath.so umath.so umath_tests.so python-numpy[=1.4.1-1mamba]
Requires:/usr/bin/env libblas.so.3 libc.so.6 libc.so.6(GLIBC_2.0) libc.so.6(GLIBC_2.1) libc.so.6(GLIBC_2.1.3) libc.so.6(GLIBC_2.2) libc.so.6(GLIBC_2.3) libgcc_s.so.1 libgfortran.so.3 liblapack.so.3(libatlas|libatlas-3dnow|libatlas-sse|libatlas-sse2|libatlas-sse3|liblapack) libm.so.6 libm.so.6(GLIBC_2.0) libm.so.6(GLIBC_2.1) libm.so.6(GLIBC_2.2) libpthread.so.0 libpthread.so.0(GLIBC_2.0) libpython2.6.so.1.0 python(python|python24)[>=2.6] python(abi)(python|python24|python3)[=2.6]
RPM requirements:coreutils libblas glibc libgcc libgfortran liblapack.so.3(libatlas|libatlas-3dnow|libatlas-sse|libatlas-sse2|libatlas-sse3|liblapack) glibc libpython python(python|python24) python(abi)(python|python24|python3)
Required by:fonttools(i586) opencv-python(i586) pygtk(i586)
Build required by:fonttools libdnet libvigra opencv pygtk
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