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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://www.numpy.org

After installation, tests can be run (if ``nose`` is installed) with:

    python -c 'import numpy; numpy.test()'

The most current development version is always available from our
git repository:

* http://github.com/numpy/numpy

Youez - 2016 - github.com/yon3zu
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