tqdm
executor
list(tqdm(executor.map(f, iter), total=len(iter))
import time
import concurrent.futures
from tqdm import tqdm
def f(x):
time.sleep(0.001) # to visualize the progress
return x**2
def run(f, my_iter):
with concurrent.futures.ThreadPoolExecutor() as executor:
results = list(tqdm(executor.map(f, my_iter), total=len(my_iter)))
return results
my_iter = range(100000)
run(f, my_iter)
16%|âââ | 15707/100000 [00:00<00:02, 31312.54it/s]