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NumPy is the fundamental package needed for scientific computing with Python.
This package contains:
* 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.
It derives from the old Numeric code base and can be used as a replacement for Numeric. It also adds the features introduced by numarray and can be used to replace numarray.
More information can be found at the website:
http://scipy.org/NumPy
After installation, tests can be run with:
python -c 'import numpy; numpy.test()'
Starting in NumPy 1.7, deprecation warnings have been set to 'raise' by
default, so the -Wd command-line option is no longer necessary.
The most current development version is always available from our
git repository:
http://github.com/numpy/numpy
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