Multithreading in Python

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()
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