Concurrency & performance
asyncio, threading, multiprocessing, and profiling-friendly performance patterns.
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.
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…
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.
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:
…
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.
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…
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