If it's just about I/O, then no, threads in Python are super easy: import random import time from concurrent.futures import ThreadPoolExecutor, as_

If it's just about I/O, then no, threads in Python are super easy: 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()) And if about network I/O only, you can get even more perfs using asyncio. Threads in Python are only inferior to Java threads when it's about using several CPU.