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_completedprocesses = []with ThreadPoolExecutor(max_workers=10) as executor:for task in tasksprocesses.append(executor.submit(task, argument))for task in as_completed(processes): # see task.result()
