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python parallelize for loop progressbar

from tqdm.contrib.concurrent import process_map
from multiprocessing import cpu_count

def my_func(param):
   # do stuff - param will be one of [1,2,3,4,5]
   return some_val

if __name__ == '__main__':
   my_vals = process_map(my_func, [1,2,3,4,5], max_workers=cpu_count())

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