multiprosessing di jupyter notebook
import multiprocessing
def double(a):
return a * 2
def driver_func():
PROCESSES = 4
with multiprocessing.Pool(PROCESSES) as pool:
params = [(1, ), (2, ), (3, ), (4, )]
results = [pool.apply_async(double, p) for p in params]
for r in results:
print('\t', r.get())
Real Raccoon