Reference library

Python Code Samples

Medium snippets you can copy, study, and run in the browser editor.

2 matches
Streaming & messaging medium

Implement a retry queue with visibility timeout in Python

This code simulates a message queue with a visibility timeout, allowing messages to be retried if not deleted before the timeout expires.

queue retry visibility-timeout
Python
import time
from collections import deque


class SimpleQueue:
    def __init__(self, visibility_timeout=2):
        self.queue = deque()
        self.in_flight = {}
        self.visibility_timeout = visibility_timeout

    def send(self, message):
        self.queue.append(message)

    def receive(self):
        if …
13 0 Open
Reliability & rate limiting medium

How to Send Messages to a Dead Letter Queue in Python

Simulates a poison message queue that retries failed messages up to a limit before moving them to a dead letter queue.

dlq message queue retries
Python
import json

class PoisonMessageQueue:
    def __init__(self, max_retries=3):
        self.dlq = []
        self.max_retries = max_retries
        self.processed_count = 0
        self.failed_count = 0

    def process_message(self, message_body):
        if "poison" in message_body:
            self.failed_count += 1…
15 0 Open

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Guide: free Python code samples library

Copy-ready Python snippets for learners and developers

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.

How to use this library

  1. Pick a topic section — strings, lists, files, functions, and more
  2. Open a sample, read How it works, and copy the code block
  3. 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.