Reference library

Concurrency & performance

asyncio, threading, multiprocessing, and profiling-friendly performance patterns.

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Concurrency & performance easy

How to start, join, and make daemon threads in Python

Starts one daemon and one non-daemon thread, joins the non-daemon thread, and shows how daemon threads exit when the main program ends.

threading daemon join
Python
import threading
import time
import logging

logging.basicConfig(level=logging.INFO, format="%(threadName)s: %(message)s")

def worker(name, delay):
    for i in range(3):
        time.sleep(delay)
        logging.info(f"{name} step {i}")

if __name__ == "__main__":
    daemon_thread = threading.Thread(
        target…
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Concurrency & performance — Python code examples

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This page collects concurrency & performance snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

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