random numbers in python distributions

random_numbers.py

"""Pipe the output of this script to another program to look at the CDF of the values. For example,

python random_numbers.py 1000 | sort -n | awk '{print $1, 1-(NR-1)/1000}' | xmgrace -
"""

import sys
import random

n = int(sys.argv[1])
for i in xrange(n):
    print random.random() #  random number between [0,1)
    # print random.uniform(-1, 1) # random numbers between [-1, 1)
    # print random.randint(1, 6)  # rolling dice!
    # print random.randrange(0, 100, 2)  # even numbers between [0, 100]
    # print random.gauss(0, 1)  # standard normal
    # print random.expovariate(10)  # exponential distribution
    # print random.betavariate(1, 1) # beta distribution