text: np.random.random_integers(5)
  # 4
  type(np.random.random_integers(5))
  # <type 'int'>
  np.random.random_integers(5, size=(3,2))
  # array([[5, 4],
  # [3, 3],
  # [4, 5]])
  
  # Choose five random numbers from the set of five evenly-spaced
  # numbers between 0 and 2.5, inclusive (*i.e.*, from the set
  # :math:`{0, 5/8, 10/8, 15/8, 20/8}`):
  
  2.5 * (np.random.random_integers(5, size=(5,)) - 1) / 4.
  # array([ 0.625,  1.25 ,  0.625,  0.625,  2.5  ])
  
  # Roll two six sided dice 1000 times and sum the results:
  
  d1 = np.random.random_integers(1, 6, 1000)
  d2 = np.random.random_integers(1, 6, 1000)
  dsums = d1 + d2
  
  # Display results as a histogram:
  
  import matplotlib.pyplot as plt
  count, bins, ignored = plt.hist(dsums, 11, normed=True)
  plt.show()
  