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python/numexpr: Fixed dep information

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ponce 2012-08-23 12:30:12 +02:00 committed by Robby Workman
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python/numexpr/README
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@ -10,5 +10,3 @@ computations straight into its internal virtual machine, written in C. This
allows to bypass the GIL in Python, and allows near-optimal parallel
performance in your vector expressions, most specially on CPU-bounded
operations (memory-bounded were already the strong point of Numexpr).
This requires numpy.