Merge pull request #172 from JensRantil/adding_cross_references

Adding cross references
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Kenneth Reitz
2012-06-10 17:33:56 -07:00
+3 -2
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@@ -11,12 +11,13 @@ and it performs really well.
Due to its high performance nature, scientific computing in python often refers Due to its high performance nature, scientific computing in python often refers
to external libraries, typically written in faster languages (like C, or FORTRAN to external libraries, typically written in faster languages (like C, or FORTRAN
for matrix operations). The main libraries used are NumPy and SciPy for matrix operations). The main libraries used are `NumPy`_ and
`SciPy`_.
Libraries Libraries
::::::::: :::::::::
Numpy NumPy
----- -----
`NumPy <http://numpy.scipy.org/>`_ is a low level library written in C (and `NumPy <http://numpy.scipy.org/>`_ is a low level library written in C (and
FORTRAN) for high level mathematical functions. NumPy cleverly overcomes the FORTRAN) for high level mathematical functions. NumPy cleverly overcomes the