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import time | |
def fibonacci_sequence_of(num): | |
first_number = 0 | |
second_number = 1 | |
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,num)) | |
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() | |
for i in input_values: | |
fibonacci_sequence_of(i) | |
tic = time.time() | |
time_taken=round((tic-toc)*1000, 1) | |
print ("It takes {} milli-seconds to calculate the fibonacci of {} concurrently".format(time_taken,input_number)) |
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https://towardsdatascience.com/parallelising-your-python-code-85b59c558f97
Parallelising your Python Code