numpy.linalg.lstsq(a, b, rcond=-1)

Polynomial.__call__(arg)

numpy.histogramdd(sample, bins=10, range=None, normed=False, weights=None)

numpy.repeat(a, repeats, axis=None)

numpy.rollaxis(a, axis, start=0)

numpy.random.power(a, size=None) Draws samples in [0, 1] from a power distribution with positive exponent a - 1. Also

Polynomial.has_samewindow(other)

numpy.polynomial.hermite_e.hermeint(c, m=1, k=[], lbnd=0, scl=1, axis=0)

numpy.random.binomial(n, p, size=None) Draw samples from a binomial distribution. Samples are drawn from a binomial

Hermite.cutdeg(deg)