Team Teaching - Fault Tolerance & Parallel and Distributed Computing • 2 min read

Team teach HW questions answered:

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}")

Example Flowchart: We can make non fault tolerant systems fault tolerant, by introducing multiple paths between connected systems. If you do this, it will allow your system to continue and thrive even if something fails or some error pops up for one of the component.