numpy.polynomial.legendre.leggauss(deg)

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

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

classmethod HermiteE.basis(deg, domain=None, window=None)

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

numpy.linalg.matrix_rank(M, tol=None)

numpy.triu_indices_from(arr, k=0)

Polynomial.has_samedomain(other)

numpy.isinf(x[, out]) = Test element-wise for positive or negative infinity. Returns a boolean array of the same shape as x

numpy.may_share_memory(a, b, max_work=None) Determine if two arrays might share memory A return of True does