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NumPy is the fundamental package needed for scientific computing with Python.
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This package contains:
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* a powerful N-dimensional array object
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* sophisticated (broadcasting) functions
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* tools for integrating C/C++ and Fortran code
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* useful linear algebra, Fourier transform, and random number capabilities.
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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.
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More information can be found at the website:
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http://scipy.org/NumPy
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After installation, tests can be run with:
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python -c 'import numpy; numpy.test()'
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The most current development version is always available from our
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subversion repository:
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http://svn.scipy.org/svn/numpy/trunk
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