numpy.indices(dimensions, dtype=)

numpy.conj(x[, out]) = Return the complex conjugate, element-wise. The complex conjugate of a complex number is obtained by

numpy.count_nonzero(a) Counts the number of non-zero values in the array a.

class numpy.polynomial.laguerre.Laguerre(coef, domain=None, window=None)

matrix.flat A 1-D iterator over the array. This is a

numpy.ma.masked_less_equal(x, value, copy=True)

numpy.ma.atleast_2d(*arys) = View inputs as arrays with at least two dimensions.

RandomState.logistic(loc=0.0, scale=1.0, size=None) Draw samples from a logistic distribution. Samples

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

Several new types are defined in the C-code. Most of these are accessible from Python, but a few are not exposed due to their limited use. Every new Python type has an associated PyObject *