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docs/performance/index.rst
@@ -21,6 +21,10 @@ it is usually counterproductive to worry about the efficiency of the code.
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<http://www.literateprogramming.com/>`_, in Computer Programming as an
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Art (1974)
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+.. seealso::
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+ * `Speed up your data science and scientific computing code
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+ <https://pythonspeed.com/datascience/>`_
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+
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k-Means example
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---------------
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@@ -290,6 +294,11 @@ scientific Python and NumPy code into fast machine code, for example:
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However, Numba requires `LLVM <https://en.wikipedia.org/wiki/LLVM>`_ and some
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Python constructs are not supported.
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+ * `Speeding up NumPy with parallelism
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+ <https://pythonspeed.com/articles/numpy-parallelism/> by Itamar
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+ Turner-Trauring`_
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Task planner
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------------
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