devxlogo

Multithreading in Python

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()
devxblackblue

About Our Editorial Process

At DevX, we’re dedicated to tech entrepreneurship. Our team closely follows industry shifts, new products, AI breakthroughs, technology trends, and funding announcements. Articles undergo thorough editing to ensure accuracy and clarity, reflecting DevX’s style and supporting entrepreneurs in the tech sphere.

See our full editorial policy.

About Our Journalist