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    <title>Overview — NetworkX 1.6 documentation</title>
    <dc:date>2012-02-17T04:21:16+00:00</dc:date>
    <link>http://networkx.lanl.gov/</link>
    <dc:creator>fakeisthenewreal</dc:creator><description><![CDATA["NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks."]]></description>
<dc:subject>python graph library via:migurski</dc:subject>
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    <title>Scientific Computing Tools For Python — Numpy</title>
    <dc:date>2012-01-26T04:10:41+00:00</dc:date>
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    <dc:creator>fakeisthenewreal</dc:creator><description><![CDATA[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.

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