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How to Run Blocking Code in an Executor with asyncio in Python
This code runs blocking functions concurrently without stalling the event loop by offloading them to thread pool executors via asyncio.
import asyncio
import time
def blocking_task(name: str, duration: float) -> str:
"""Simulate a blocking operation."""
time.sleep(duration)
return f"Finished {name} after {duration}s"
async def main() -> None:
loop = asyncio.get_running_loop()
results = await asyncio.gather(
loop.run_in_…How to Use asyncio Lock to Protect a Shared Counter in Python
This code demonstrates how to use an asyncio.Lock to safely increment a shared counter from multiple concurrent coroutines.
import asyncio
async def increment(counter, lock, increments):
for _ in range(increments):
async with lock:
counter[0] += 1
async def main():
counter = [0]
lock = asyncio.Lock()
tasks = [
increment(counter, lock, 1000)
for _ in range(5)
]
await asyncio.gath…How to Use threading.Lock to Synchronize a Counter in Python
Safely increment a shared counter across multiple threads using threading.Lock as a mutex to prevent race conditions.
import threading
counter = 0
lock = threading.Lock()
def increment():
global counter
for _ in range(100000):
with lock:
counter += 1
threads = [threading.Thread(target=increment) for _ in range(5)]
for t in threads:
t.start()
for t in threads:
t.join()
print(f"Final counter valu…How to Use threading.RLock in Python
Demonstrates threading.RLock, a reentrant lock that allows the same thread to acquire it multiple times without deadlocking — essential for recursive functions sharing state across threads.
import threading
import time
lock = threading.RLock()
shared_counter = 0
def recursive_increment(value, depth):
global shared_counter
with lock:
shared_counter += 1
print(f"Depth {depth}: counter = {shared_counter}")
if depth > 1:
recursive_increment(value, depth - 1)
def…How to use ThreadPoolExecutor for concurrent tasks in Python
Run blocking functions in parallel with ThreadPoolExecutor and as_completed, cutting total runtime from 5 sequential sleeps to about 1 second.
import time
from concurrent.futures import ThreadPoolExecutor, as_completed
def fetch_data(item):
"""Simulate a slow operation with a fixed delay."""
time.sleep(0.2)
return item * 2
def main():
items = [1, 2, 3, 4, 5]
start = time.perf_counter()
with ThreadPoolExecutor(max_workers=3) as ex…How to Implement ETag Optimistic Concurrency in Python
Build a lightweight in-memory resource store that uses MD5 hash ETags to prevent lost updates via optimistic concurrency control.
import hashlib
import json
class ResourceStore:
def __init__(self):
self.data = {}
self.etags = {}
def get(self, resource_id):
if resource_id not in self.data:
return None, None
return self.data[resource_id], self.etags[resource_id]
def put(self, resource_id, …Coalescing duplicate in-flight requests: one shared result for concurrent callers
Runs identical concurrent requests through a single shared call, caching the result while it's in flight and returning the same value to all callers.
import time
import threading
from collections import defaultdict
class CoalescingExecutor:
def __init__(self):
self._locks = defaultdict(threading.Lock)
self._in_flight = {}
def execute(self, key, func):
with self._locks[key]:
if key in self._in_flight:
re…How to implement Redlock distributed lock in Python
Simulate Redis Redlock multi-instance locking to show how a distributed lock is acquired only when a majority of instances agree.
import time
import random
import threading
from dataclasses import dataclass
@dataclass
class MockRedisLock:
"""Simple mock of a Redis lock instance."""
name: str
key: str
ttl: int
acquired: bool = False
expires_at: float = 0.0
def acquire(self, sleep_fn=time.sleep):
"""Try to ac…Implement a TTL cache with a mock clock in Python
This code creates a simple TTL cache that stores values with an expiration timestamp and allows injecting a mock time function to test expiry behavior deterministically.
import time
from functools import wraps
class TTLCache:
def __init__(self, ttl_seconds):
self.ttl = ttl_seconds
self.cache = {}
self._now = time.time
def set_mock_time(self, mock_time_fn):
"""Inject a mock time function for testing TTL expiry."""
self._now = mock_time_…Mock Redis Distributed Lock in Python with SET NX EX
A minimal in-memory mock of Redis SET NX EX distributed lock semantics for testing concurrent code without a real Redis server.
import time
import threading
import uuid
from typing import Optional
class RedisLockMock:
"""A minimal mock of Redis SET NX EX distributed lock semantics."""
def __init__(self):
self._store = {} # key -> (value, expiry_epoch)
def acquire(self, key: str, token: str, ttl_seconds: int) -> bool:
…Python Redis WATCH optimistic lock mock
A MockRedis class that simulates WATCH/MULTI/EXEC transactions with optimistic locking to detect concurrent modifications before committing.
import time
import threading
class MockRedis:
def __init__(self):
self.data = {}
self.watched = {}
self.lock = threading.Lock()
def get(self, key):
return self.data.get(key)
def set(self, key, value):
self.data[key] = value
def watch(self, *keys):
wi…How to Implement a Rate Limiter in Python
A beginner-friendly Python class that tracks call timestamps with a deque to allow or block calls based on a max rate per time period.
import time
from collections import deque
class RateLimiter:
"""Simple rate limiter for beginners."""
def __init__(self, max_calls: int, period_seconds: float):
self.max_calls = max_calls
self.period = period_seconds
self.calls = deque()
def allow(self) -> bool:
"""Retur…How to Implement a Temporary Block in Python
Build a reusable PenaltyBox class that temporarily blocks access after a failure and reports remaining lockout time.
class PenaltyBox:
def __init__(self, block_seconds: int = 30):
self.block_seconds = block_seconds
self._blocked_until = 0.0
self._attempts = 0
def try_access(self, current_time: float) -> bool:
if self._blocked_until and current_time < self._blocked_until:
return Fa…How to implement a rate-limited shared counter in Python
Implements a thread-safe global counter that allows a maximum number of increments per second using a lock and time-based refill.
import threading
import time
import random
counter = 0
lock = threading.Lock()
MAX_CALLS_PER_SECOND = 3
last_refill = time.time()
def rate_limited_increment():
global counter, last_refill
with lock:
now = time.time()
if now - last_refill >= 1.0:
last_refill = now
count…Rate Limit per User ID in Python with a Dict Mock
Implements a simple sliding window rate limiter using a defaultdict of timestamps per user ID, blocking requests that exceed a max count within a time window.
import time
from collections import defaultdict
class RateLimiter:
def __init__(self, max_requests, window_seconds):
self.max_requests = max_requests
self.window_seconds = window_seconds
self.user_timestamps = defaultdict(list)
def allow_request(self, user_id):
now = time.tim…How to Mock Mutual Exclusion for A/B Experiment Groups in Python
Simulate mutual exclusion for experiment groups using a thread-safe lock, ensuring only one member updates the shared counter at a time.
import threading
import time
import random
class CountingGate:
"""A mock mutual exclusion gate using a lock."""
def __init__(self):
self.counter = 0
self.lock = threading.Lock()
def enter(self, group_id, member_id):
with self.lock:
current = self.counter
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