text: # Draw samples from the distribution:
  
  import numpy as np
  s = np.random.poisson(5, 10000)
  
  # Display histogram of the sample:
  
  import matplotlib.pyplot as plt
  count, bins, ignored = plt.hist(s, 14, density=True)
  plt.show()
  
  # Draw each 100 values for lambda 100 and 500:
  
  s = np.random.poisson(lam=(100., 500.), size=(100, 2))
  