classmethod Legendre.cast(series, domain=None, window=None)

HermiteE.integ(m=1, k=[], lbnd=None)

numpy.random.laplace(loc=0.0, scale=1.0, size=None) Draw samples from the Laplace or double exponential distribution with

numpy.nanstd(a, axis=None, dtype=None, out=None, ddof=0, keepdims=False)

numpy.polynomial.chebyshev.cheb2poly(c)

numpy.polynomial.polynomial.polymul(c1, c2)

numpy.polynomial.hermite_e.hermeweight(x)

numpy.corrcoef(x, y=None, rowvar=1, bias=, ddof=)

numpy.ma.row_stack(tup) = Stack arrays in sequence vertically (row wise). Take a sequence of arrays and stack them vertically

classmethod Chebyshev.identity(domain=None, window=None)