Python Parallel Processing and Multiprocessing: A Rivew

Parallel and multiprocessing algorithms break down significant numerical problems into smaller subtasks, reducing the total computing time on multiprocessor multicore computers. programming is well supported in proven languages such as C Python, which are suited to “heavy-duty” computational tasks. Historically, Python has been regarded a strong supporter of parallel due global interpreter lock (GIL). However, times have changed. by creation diverse set libraries packages. This review focused that support processing multiprocessing, intending accelerate computation various fields, including multimedia, attack detection, supercomputers, genetic algorithms. Furthermore, we discussed some can be used for this purpose.