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added an url about scientific python in resource
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docs/scenarios/scientific.rst

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@@ -68,3 +68,7 @@ scientific computing packages are notoriously difficult to build and install.
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compiled a list of Windows binaries for many useful Python packages. The list
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of packages has grown from a mainly scientific python resource to a more
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general list. It might be a good idea to check it out if you're on Windows.
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For a quick introduction to scientific python:
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`Scientific Python Lectures < http://scipy-lectures.github.com/>`_

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