Python Code
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Medium snippets you can copy, study, and run in the browser editor.
Graceful Shutdown Executor Context Manager in Python
A context manager that starts a background thread and ensures it stops gracefully on exit, handling timeouts and exceptions.
import signal
import threading
import time
from contextlib import contextmanager
@contextmanager
def graceful_shutdown_executor(timeout=5.0):
"""Context manager that runs a task and gracefully stops it on timeout or exception."""
stop_event = threading.Event()
def task():
print("Task started")
…
How to Build an HTTP Server Request Duration Histogram in Python
Create a small HTTP server that times each GET request, buckets the duration, and prints a histogram on shutdown.
import time
import random
from collections import Counter
from http.server import HTTPServer, BaseHTTPRequestHandler
class HistogramHandler(BaseHTTPRequestHandler):
response_times = Counter()
def do_GET(self):
start = time.perf_counter()
time.sleep(random.uniform(0.001, 0.1))
duratio…
How to Drain a Connection Pool Before Exit in Python
Gracefully close all pooled sockets using a thread-safe ConnectionPool that drains connections before program exit.
import socket
import threading
import time
import random
class ConnectionPool:
def __init__(self, size=5):
self.pool = []
self.lock = threading.Lock()
self.closed = False
for _ in range(size):
self.pool.append(self.create_connection())
def create_connection(sel…
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PythonSkillset code samples are short, focused examples organised by topic and difficulty. Every snippet is server-rendered HTML — readable by search engines and easy to copy. Open any sample, read the notes, copy the code, then press Try in editor to run it in the browser with Pyodide.
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- Open a sample, read How it works, and copy the code block
- Run it in the IDE, tweak values, then take a related quiz or tutorial lesson
Samples vs tutorials and challenges
Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.