random_walks.py

# pre-requisite is the markov_chain.py
# every function that will be written here will be 
# expanding on the work of markov chains











def brownian_motion(mean = 0, dimensions = 2, probabilties=[0.5, 0.5], equal_distributions = True):
    pass