Multithreading.py

import threading
import time
from concurrent.futures import ThreadPoolExecutor

# Indicates some task being done
def func(seconds):
    print(f"Sleeping for {seconds} seconds")
    time.sleep(seconds)
    return seconds

def main():
    time1  = time.perf_counter()
    # # normal code
    # func(4)
    # func(2)
    # func(1)

    # # Some code using threads
    t1 = threading.Thread(target=func, args=[4])
    t2 = threading.Thread(target=func, args=[2])
    t3 = threading.Thread(target=func, args=[1])

    t1.start()
    t2.start()
    t3.start()

    t1.join()
    t2.join()
    t3.join()

    # calculating time:
    time2 = time.perf_counter()
    print(time2 - time1)

# Concurrent.futures function 
def poolingDemo():
    with ThreadPoolExecutor() as executor:
        # future1 = executor.submit(func, 3)
        # future2 = executor.submit(func, 2)
        # future3 = executor.submit(func, 1)

        # print(future1.result())
        # print(future2.result())
        # print(future3.result())
        l = [2, 3, 4, 5]
        results = executor.map(func, l)
        for result in results:
            print(result)


poolingDemo()