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Tip of the Day
Language: Semantic Web
Expertise: Advanced
Nov 6, 2019

WEBINAR:

On-Demand

Building the Right Environment to Support AI, Machine Learning and Deep Learning


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_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()
Srinath M S
 
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