multi_fab

#importing libraries-
import time
from multiprocessing import Pool

def fibonacci_sequence_of(num):
	first_number = 0
	second_number = 1
  # Need to convert raw user input into integer for computation-
	num = int(num)
	if num == 0:
		print ("Fibonacci of {} is {}".format(num,num))
	elif num ==1:
		print ("Fibonacci of {} is {}".format(num,num))
	else:
		for i in range(2,num): 
			new_number = first_number + second_number 
			first_number = second_number 
			second_number = new_number
		print ("Fibonacci of {} is {}".format(num,second_number))

if __name__ == '__main__':
	input_number = input("Provide comma-seperated-values for multiple values \nFabonacci of : ") 
	input_values=[]
	input_values = input_number.split(",")
	toc = time.time()
  #Making a pool object-
	pool = Pool()
  #Providing numerical values in parellel for computation using .map function
  #.map is a function that is gonna take a function and a list of something(numbes here) in interval and is going to map all those into the processors of our machine
	result = pool.map(fibonacci_sequence_of, input_values)
	tic = time.time()
  
	time_taken=round((tic-toc)*1000, 1)
	print ("It takes {} milli-seconds to calculate the fibonacci of {} in parellel ".format(time_taken,input_number))
  #Waiting for this process to finish running then close-
	pool.close()
	pool.join()

https://towardsdatascience.com/parallelising-your-python-code-85b59c558f97

Parallelising your Python Code

https://gist.github.com/hute37/c5a6a06354be35487bbf68f5022b9523