#multiprocessing

import socket import multiprocessing def handle_client(conn, addr): print(f"Connected by {addr}") while True: data = conn.recv(1024) if not data: break conn.sendall(data) conn.close() def start_server(): server = socket.socket(socket.AF_INET, socket.SOCK_STREAM) server.bind(('0.0.0.0', 5000)) server.listen(5) print("Server started!") while True: conn, addr = server.accept() p = multiprocessing.Process(target=handle_client, args=(conn, addr)) p.start() if __name__ == '__main__': start_server()

import time from multiprocessing import Pool def mp_do_something_to(m_count): time.sleep(m_count/10) # so print(":",m_count,"-") return m_count + 100 def mp_do_something_to_return(the_return): print(the_return) if __name__ == "__main__": try: processes = [] pool = Pool() for i in range(0,5): p = pool.map_async(mp_do_something_to, (i,), callback=lambda ret: mp_do_something_to_return(ret) ) processes.append(p) for p in processes: # wait for processes to complete p.wait() finally: pool.close()

Python Multiprocessing, Multi Core Processors, multi processors, ARM Cortex M and ARM Cortex A, Pool Class in Multiprocessing Module of Python

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Multiprocessing refers to the ability of a system to support more than one processor at the same time.Applications in a multiprocessing system are broken to smaller routines that run independently. The operating system allocates these threads to the processors improving performance of the system. https://www.incegna.com/post/multi-processing-in-python Check our Info : www.incegna.com Reg Link for Programs : http://www.incegna.com/contact-us Follow us on Facebook : www.facebook.com/INCEGNA/? Follow us on Instagram : https://www.instagram.com/_incegna/ For Queries : [email protected] #multiprocessing,#Python,#machinelearning,#Pipes,#Synchronization,#LockClass.#numpy,#pandas,#matplotlib,#pythondevelopers,#spacesmemory,#modules https://www.instagram.com/p/B8iRI2rA-fn/?igshid=zzin510tj4ub