Using ThreadPoolExecutor from the concurrent.futures library, we can spin threads quickly and execute tasks in parallel. Wrap your time consuming method with the thread pool executor..
Without threading:
for task in tasks
# some time consuming operation
With ThreadPoolExecutor:
from concurrent.futures import ThreadPoolExecutor, as_completed
processes = []
with ThreadPoolExecutor(max_workers=10) as executor:
for task in tasks
processes.append(executor.submit(task, argument))
for task in as_completed(processes):
# see task.result()
es): # see task.result()
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