[eggy]

Geometric mean in Numpy vs. J:

(Copied from some forum, since I don't use Python much)

  import numpy as np

  def geo_mean_overflow(iterable):
      return

  np.exp(np.log(iterable).mean())

Or,

  from statistics import.
  geometric_mean

  geometric_mean([1.0, 0.00001, 10000000000.]) # 46.415888336127786

In J, since I don't know K:

  gm=:#%:*/

Even shorter than Python whether it's a canned lib routine or created from composing simple functions.

And I don't need to format code on HN in J because it's so short anyway, besides I don't know how!