i not sure when use pool of workers vs multiple processes. processes = [] m in range(1,5): p = process(target=some_function) p.start() processes.append(p) p in processes: p.join() vs if __name__ == '__main__': # start 4 worker processes pool(processes=4) pool: pool_outputs = pool.map(another_function, inputs) as says on pymotw : the pool class can used manage fixed number of workers simple cases work done can broken , distributed between workers independently. the return values jobs collected , returned list. the pool arguments include number of processes , function run when starting task process (invoked once per child). please have @ examples given there better understand application, functionalities , parameters. basically pool helper, easing management of processes (workers) in cases need consume common input data, process in parallel , produce joint output. the pool quite few thi...
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