Python, Concurrency, Parallelism, Multiprocessing, Asynchronous.
examples. Pools By creating a pool of processors dedicated to a specific subject, we can automate a significant portion of the workload. This pool can manage task distribution, execution, and potentially even results analysis. from multiprocessing import Pool def f(x): return x*x if __name__ ==