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Python Code Samples

Copy-ready Python snippets by topic and difficulty — short, focused, and runnable in the browser editor.

4 matches
Comprehensions & generators medium

How to Build a Backpressure Generator Pause Producer Demo in Python

Demonstrates a producer–consumer pattern with a fixed-size buffer that pauses production when full, simulating backpressure.

backpressure producer-consumer deque
Python 
import time
import collections

def producer(buffer, max_size, items):
    """Adds items to the buffer until full, then pauses."""
    for item in items:
        while len(buffer) >= max_size:
            print(f"Buffer full ({len(buffer)}/{max_size}) — producer paused")
            time.sleep(0.1)
        buffer.appe…
13 0 Open
Concurrency & performance medium

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…
14 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:
       …
12 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…
11 0 Open

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