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Merge pull request #172 from JensRantil/adding_cross_references
Adding cross references
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@@ -11,12 +11,13 @@ and it performs really well.
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Due to its high performance nature, scientific computing in python often refers
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Due to its high performance nature, scientific computing in python often refers
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to external libraries, typically written in faster languages (like C, or FORTRAN
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to external libraries, typically written in faster languages (like C, or FORTRAN
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for matrix operations). The main libraries used are NumPy and SciPy
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for matrix operations). The main libraries used are `NumPy`_ and
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`SciPy`_.
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Libraries
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Libraries
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:::::::::
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:::::::::
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Numpy
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NumPy
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-----
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-----
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`NumPy <http://numpy.scipy.org/>`_ is a low level library written in C (and
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`NumPy <http://numpy.scipy.org/>`_ is a low level library written in C (and
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FORTRAN) for high level mathematical functions. NumPy cleverly overcomes the
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FORTRAN) for high level mathematical functions. NumPy cleverly overcomes the
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