[Numpy-discussion] efficient norm of a vector

[lorenzo bolla]

Hi all,
just a quick (and easy?) question.
what is the best (fastest) way to implement the euclidean norm of a vector,
i.e. the function:

import scipy as S
def norm(x):
   """normalize a vector."""
   return S.sqrt(S.sum(S.absolute(x)**2))

?

thanks in advance,
Lorenzo.
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