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Showing content from https://docs.scipy.org/doc/numpy-1.16.0/reference/generated/numpy.random.standard_normal.html below:

numpy.random.standard_normal — NumPy v1.16 Manual

Draw samples from a standard Normal distribution (mean=0, stdev=1).

>>> s = np.random.standard_normal(8000)
>>> s
array([ 0.6888893 ,  0.78096262, -0.89086505, ...,  0.49876311, #random
       -0.38672696, -0.4685006 ])                               #random
>>> s.shape
(8000,)
>>> s = np.random.standard_normal(size=(3, 4, 2))
>>> s.shape
(3, 4, 2)

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