New in version 1.6.0. This module provides a number of objects (mostly functions) useful for dealing with Hermite series

numpy.ma.outerproduct(a, b)

numpy.tensordot(a, b, axes=2)

numpy.random.wald(mean, scale, size=None) Draw samples from a Wald, or inverse Gaussian, distribution. As the scale

See also

numpy.trace(a, offset=0, axis1=0, axis2=1, dtype=None, out=None)

numpy.polynomial.hermite_e.hermeroots(c)

MaskedArray.reshape(*s, **kwargs)

numpy.polynomial.laguerre.lag2poly(c)

numpy.nanmean(a, axis=None, dtype=None, out=None, keepdims=False)