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Concurrency & performance

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

4 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

How to Share a Queue Between Processes in Python

Use multiprocessing.Queue to pass work from a producer process to multiple consumer processes, coordinating with a sentinel stop message.

multiprocessing queue concurrency

Python

import multiprocessing
import time


def producer(queue, items):
    for item in items:
        queue.put(item)
        time.sleep(0.1)
    queue.put("STOP")


def consumer(queue, name):
    while True:
        item = queue.get()
        if item == "STOP":
            break
        print(f"{name} processed: {item}")

…

13 0 Open

Concurrency & performance medium

How to Use a Bounded Buffer with threading.Condition in Python

Implement a thread-safe bounded buffer using threading.Condition and show a producer–consumer example with exact output.

threading condition producer-consumer

Python

import threading
import time
import random

class BoundedBuffer:
    def __init__(self, capacity):
        self.capacity = capacity
        self.buffer = []
        self.condition = threading.Condition()

    def put(self, item):
        with self.condition:
            while len(self.buffer) >= self.capacity:
       …

14 0 Open

Concurrency & performance easy

Thread-Safe Producer Consumer Queue in Python

A producer-consumer pattern using thread-safe queue.Queue with two threads, demonstrating safe communication and synchronized task completion.

queue threading producer-consumer

Python

import queue
import threading
import time
import random


def producer(q, item_count):
    for i in range(item_count):
        item = random.randint(1, 100)
        q.put(item)
        print(f"Producer added: {item}")
        time.sleep(0.1)


def consumer(q):
    while True:
        try:
            item = q.get(time…

12 0 Open

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