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Hands-on: Numexpr
Explore performance of numexpr
In this exercise we explore how to evaluate expressions efficiently with numexpr.
Source code for this exercise is located in numpy/numexpr/
Try different array expressions and investigate how much numexpr can speed them up. Try to vary also the number of threads used by numexpr. IPython and %timeit magic can be useful in testing.
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