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np vectorize does not utilize cores

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I am using python 3 with numpy, it seems that numpy operations are using all my cores well, but when I use a function with np.vectorize like so for instance:

f = lambda x: (x*1000) / 20 * 15 + 3
v_func = np.vectorize(f) 

It uses only one core for a long time (according to the cpu utilization chart).

How can I use it with numpy's multi core capabilities?

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