Sometimes we want to run a method using multiple processors to process our code due to a costly function. Below is an example of how you could do it. There is other api’s you could use like ‘map’ but here is just one example.
from multiprocessing import Pool
# Sets the pool to utilize 4 processes
pool = Pool(processes=4)
result = pool.apply_async(func=my_method, args=("some_info",))
# Performs the aync function
data = result.get()
pool.close()
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