python-numpy 1:1.6.1-5ubuntu2 source package in Ubuntu

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python-numpy (1:1.6.1-5ubuntu2) precise; urgency=low

  * update search-multiarch-paths.patch (LP: #956901)
    use gcc -print-multiarch to detect the path and recommend gcc
 -- Julian Taylor <email address hidden>   Mon, 19 Mar 2012 07:50:30 +0100

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Uploaded by:
Julian Taylor
Sponsored by:
Martin Pitt
Uploaded to:
Precise
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
python
Urgency:
Low Urgency

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python-numpy_1.6.1-5ubuntu2.debian.tar.gz 134.8 KiB 9204464e09d81a829c00381d8b565c91673c0410d6ce310fdbe78fde06d09588
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Binary packages built by this source

python-numpy: Numerical Python adds a fast array facility to the Python language

 Numpy contains a powerful N-dimensional array object, sophisticated
 (broadcasting) functions, tools for integrating C/C++ and Fortran
 code, and useful linear algebra, Fourier transform, and random number
 capabilities.
 .
 Numpy replaces the python-numeric and python-numarray modules which are
 now deprecated and shouldn't be used except to support older
 software.

python-numpy-dbg: Fast array facility to the Python language (debug extension)

 Numpy contains a powerful N-dimensional array object, sophisticated
 (broadcasting) functions, tools for integrating C/C++ and Fortran
 code, and useful linear algebra, Fourier transform, and random number
 capabilities.
 .
 Numpy replaces the python-numeric and python-numarray modules which
 are now deprecated and shouldn't be used except to support older
 software.
 .
 This package contains the extension built for the Python debug interpreter.

python-numpy-doc: NumPy documentation

 Numpy contains a powerful N-dimensional array object, sophisticated
 (broadcasting) functions, tools for integrating C/C++ and Fortran
 code, and useful linear algebra, Fourier transform, and random number
 capabilities.
 .
 Numpy replaces the python-numeric and python-numarray modules which
 are now deprecated and shouldn't be used except to support older
 software.
 .
 This package contains documentation for Numpy and f2py.