great attention should be given to proper management of the pipe endpoints if one of the ends of the pipe is not used in either the producer or consumerit should be closed this explainsfor instancewhy the output end of the pipe is closed in the producer and the input end of the pipe is closed in the consumer if you forget one of these stepsthe program may hang on the recv(operation in the consumer pipes are reference counted by the operating system and have to be closed in all processes to produce the eoferror exception thusclosing the pipe in the producer doesn' have any effect unless the consumer also closes the same end of the pipe pipes can be used for bidirectional communication this can be used to write programs that interact with process using request/response model typically associated with client/server computing or remote procedure call here is an exampleimport multiprocessing server process def adder(pipe)server_pclient_p pipe client_p close(while truetryx, server_p recv(except eoferrorbreak result server_p send(resultshutdown print("server done"if _name_ =' _main_ '(server_pclient_pmultiprocessing pipe(launch the server process adder_p multiprocessing process(target=adder,args=((server_pclient_p),)adder_p start(close the server pipe in the client server_p close(make some requests on the server client_p send(( , )print(client_p recv()client_p send(('hello','world')print(client_p recv()done close the pipe client_p close(wait for the consumer process to shutdown adder_p join(in this examplethe adder(function runs as server waiting for messages to arrive on its end of the pipe when receivedit performs some processing and sends the result back on the pipe keep in mind that send(and recv(use the pickle module to serialize objects in the examplethe server receives tuple (xyas input and returns the result for more advanced applications that use remote procedure callhoweveryou should use process pool as described next lib fl ff