numpy.fromfile(file, dtype=float, count=-1, sep='') Construct an array from data in a text or binary file. A highly efficient

numpy.polynomial.laguerre.lagzero = array([0])

matrix.var(axis=None, dtype=None, out=None, ddof=0)

recarray.mean(axis=None, dtype=None, out=None, keepdims=False) Returns the average of the array elements along given axis

numpy.arctanh(x[, out]) = Inverse hyperbolic tangent element-wise.

generic.itemsize length of one element in bytes

numpy.arange([start, ]stop, [step, ]dtype=None) Return evenly spaced values within a given interval. Values are generated

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

recarray.trace(offset=0, axis1=0, axis2=1, dtype=None, out=None) Return the sum along diagonals of the array. Refer

numpy.polynomial.hermite_e.hermedomain = array([-1, 1])