spawn multi processors were total is CPU cores - 1 (ensure it doesn't lock the computer)

Standard - parallel multiprocessing tasks.py

import multiprocessing


def increment_value(num):
    num = num + 1
    print 'this is number ->{}'.format(num)
    return num

if __name__ == '__main__':
    '''
    Initialize a pool 
        i.e. Number of vCPU -1 (ensure cpu doesn't hold its breath)
    '''
    available_cpu_for_workers = multiprocessing.cpu_count() - 1
    pool = multiprocessing.Pool(processes=available_cpu_for_workers)
    # do work
    rst = pool.map(increment_value, [1, 2, 3, 5])

    # singal end of work
    pool.close()
    print "wait for jobs to finish"
    pool.join()

    # print summary
    print "complete"
    print "map return {}".format(sum(rst))