Random Number Generation

This module is based upon the random module in the Python standard library. It contains functions for generating random behaviour.

To access this module you need to:

import random

We assume you have done this for the examples below.

Functions

random.getrandbits(n)

Returns an integer with n random bits.

Warning

Because the underlying generator function returns at most 30 bits, n may only be a value between 1-30 (inclusive).

random.seed(n)

Initialize the random number generator with a known integer n. This will give you reproducibly deterministic randomness from a given starting state (n).

random.randint(a, b)

Return a random integer N such that a <= N <= b. Alias for randrange(a, b+1).

random.randrange(stop)

Return a randomly selected integer between zero and up to (but not including) stop.

random.randrange(start, stop)

Return a randomly selected integer from range(start, stop).

random.randrange(start, stop, step)

Return a randomly selected element from range(start, stop, step).

random.choice(seq)

Return a random element from the non-empty sequence seq. If seq is empty, raises IndexError.

random.random()

Return the next random floating point number in the range [0.0, 1.0)

random.uniform(a, b)

Return a random floating point number N such that a <= N <= b for a <= b and b <= N <= a for b < a.