LG

import multiprocessing
 
def f(e):
    print(e)
    return
 
if __name__ == '__main__':
    # start 8 worker processes
    with multiprocessing.Pool(processes=8) as pool:
 
        # launching multiple evaluations asynchronously *may* use more processes
        multiple_results = [pool.apply_async(f, args=[i]) for i in range(1,66)]
        print([res.get(timeout=10000) for res in multiple_results])