Post - Optimise Python code for data preparation using Concurrent features

02_test_compress.py

import concurrent.futures
import time
import glob
from compressing import compres


start_time = time.time()
list_files = glob.glob("../data/test_compres/*.png")
with concurrent.futures.ProcessPoolExecutor(max_workers=4) as executor:
    executor.map(compres.compress_image, list_files)
end_time = time.time()
print(end_time - start_time)