Speed doesn’t matter always, but when it does it Java feels snappy. Our programs our command line based so our framework use is limited. Also the built in data structures are nice. I still find getting Java’s set up painful, which is a huge impediment for us using it more.

(yeah I know it has type hints now)

    import random
    import time
    from concurrent.futures import ThreadPoolExecutor, as_completed


    def hello(seconds):
        print(f"Starting hello in {seconds}s")
        time.sleep(seconds)
        print(f"End of hello in {seconds}s")
        return seconds


    # At the end of this blocks, it automatically join() and clean
    with ThreadPoolExecutor(max_workers=2) as executor: # 2 tasks in parallel max

        # this send jobs to threads via safe queues
        a = executor.submit(hello, random.randint(0, 5))
        b = executor.submit(hello, random.randint(0, 5))

        # this collect results from queues in order of completion
        # sync is automatic
        for future in as_completed((a, b)):  
            print(future.result())

Threads in Python are only inferior to Java threads when it's about using several CPU.