In Python3, since Python 3.2 there is a new approach to reach the same result, that I personally prefer to the traditional thread creation/start/join, package concurrent.futures: https://docs.python.org/3/library/concurrent.futures.html
Using a ThreadPoolExecutor the code would be:
from concurrent.futures.thread import ThreadPoolExecutor
import time
def call_script(ordinal, arg):
print('Thread', ordinal, 'argument:', arg)
time.sleep(2)
print('Thread', ordinal, 'Finished')
args = ['argumentsA', 'argumentsB', 'argumentsC']
with ThreadPoolExecutor(max_workers=2) as executor:
ordinal = 1
for arg in args:
executor.submit(call_script, ordinal, arg)
ordinal += 1
print('All tasks has been finished')
The output of the previous code is something like:
Thread 1 argument: argumentsA
Thread 2 argument: argumentsB
Thread 1 Finished
Thread 2 Finished
Thread 3 argument: argumentsC
Thread 3 Finished
All tasks has been finished
One of the advantages is that you can control the throughput setting the max concurrent workers.