gistfile1.py

# aggregate 100 random walks, with
# different start points:

# in each case take a walk of ten steps
# and add a 100-dimensional vector
# to an aggregator (allwalks)
# that has ten different entries,
# for the ten possible steps of each
# walk

import numpy as np

allwalks = list()
for i in range(10):
    allwalks.append(np.zeros(100))

for j in range(100):
    last=np.random.normal(0, .1, 100)
    for i in range(10):
        new=last+np.random.normal(0, .1, 100)
        last=new
        allwalks[i] += new

for i in range(10):
    print(','.join([str(x) for x in allwalks[i]]))

This is in Python 3.