Sequential Code
def sequential_square(numbers):
result = []
for num in numbers:
result.append(num**2)
return result
if __name__ == "__main__":
numbers_list = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
sequential_result = sequential_square(numbers_list)
print(f"Sequential Result: {sequential_result}")
Parallel Code
import concurrent.futures
def parallel_square(num):
return num**2
if __name__ == "__main__":
numbers_list = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
with concurrent.futures.ThreadPoolExecutor() as executor:
# Using ThreadPoolExecutor to parallelize the task
parallel_result = list(executor.map(parallel_square, numbers_list))
print(f"Parallel Result: {parallel_result}")
It will take less time to execute the Parallel Code.