16.6. multiprocessing — Process-based “threading” interface — Python v3 documentation. Introduction multiprocessing is a package that supports spawning processes using an API similar to the threading module. The multiprocessing package offers both local and remote concurrency, effectively side-stepping the Global Interpreter Lock by using subprocesses instead of threads. Due to this, the multiprocessing module allows the programmer to fully leverage multiple processors on a given machine.
It runs on both Unix and Windows. The multiprocessing module also introduces APIs which do not have analogs in the threading module. From multiprocessing import Pool def f(x): return x*x if __name__ == '__main__': with Pool(5) as p: print(p.map(f, [1, 2, 3])) will print to standard output The Process class In multiprocessing, processes are spawned by creating a Process object and then calling its start() method. From multiprocessing import Process def f(name): print('hello', name) if __name__ == '__main__': p = Process(target=f, args=('bob',)) p.start() p.join() Contexts and start methods Note.
Distributed concurrent applications in Clojure? Newspeak » The Newspeak Programming Language. Groovy Actors. Clojure » home. [#JRUBY-362] provide method of acquiring Java object's monitor from Ruby.