This module implements pseudo-random number generators for
various distributions. For integers, uniform selection from a
range. For sequences, uniform selection of a random element, a
function to generate a random permutation of a list in-place,
and a function for random sampling without replacement. On the
real line, there are functions to compute uniform, normal
(Gaussian), lognormal, negative exponential, gamma, and beta
distributions. For generating distributions of angles, the von
Mises distribution is available. Almost all module functions
depend on the basic function random(), which generates a random
float uniformly in the semi-open range [0.0, 1.0). Python uses
the Mersenne Twister as the core generator. It produces 53-bit
precision floats and has a period of 2**19937-1. The underlying
implementation in C is both fast and threadsafe. The Mersenne
Twister is one of the most extensively tested random number
generators in existence. However, being completely
deterministic, it is not suitable for all pur