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Concurrency & performance

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

2 matches

How to Build a Producer-Consumer Pattern with asyncio.Queue in Python

This code implements a classic producer-consumer pattern using asyncio.Queue to coordinate one producer task that generates items and two consumer tasks that process them concurrently, with a sentinel value to signal completion.

asyncio queue concurrency

Python

import asyncio
import random


async def producer(queue, item_count):
    for i in range(item_count):
        item = random.randint(1, 100)
        await queue.put(item)
        print(f"Produced: {item}")
        await asyncio.sleep(0.1)
    await queue.put(None)  # Sentinel to signal end


async def consumer(queue, n…

15 0 Open

Concurrency & performance medium

asyncio Condition wait notify pattern in Python

Coordinate coroutines with asyncio.Condition: workers wait for notifications and the main task notifies one or all of them.

asyncio concurrency synchronization

Python

import asyncio


async def worker(condition, name):
    async with condition:
        print(f"{name} waiting...")
        await condition.wait()
        print(f"{name} notified!")


async def main():
    condition = asyncio.Condition()
    tasks = [asyncio.create_task(worker(condition, f"worker-{i}")) for i in range(3…

14 0 Open

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