parallel_example.py

import multiprocessing

list_of_inputs = [0, 1, 2, 3]

def calculate_function(ind_input):
  return ind_input**2

results = []

####### as a for loop (option 1, not parallel)
for ind_input in list_of_inputs:
  results.append(calculate_function(ind_input))

####### as a starmap
num_cpu = 4 # use multiprocessing.cpu_count() to see how many are available
pool = multiprocessing.Pool(processes=num_cpu)
results = pool.map(calculate_function,list_of_inputs)