numpy.random.standard_gamma(shape, size=None) Draw samples from a standard Gamma distribution. Samples are

numpy.random.vonmises(mu, kappa, size=None) Draw samples from a von Mises distribution. Samples are drawn from

RandomState.get_state() Return a tuple representing the internal state of the generator. For more details

numpy.random.dirichlet(alpha, size=None) Draw samples from the Dirichlet distribution. Draw size

RandomState.beta(a, b, size=None) Draw samples from a Beta distribution. The Beta distribution is a special

RandomState.shuffle(x) Modify a sequence in-place by shuffling its contents.

RandomState.bytes(length) Return random bytes.

numpy.random.pareto(a, size=None) Draw samples from a Pareto II or Lomax distribution with specified shape. The

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

numpy.random.standard_cauchy(size=None) Draw samples from a standard Cauchy distribution with mode = 0. Also