Reference library

Reliability & rate limiting

Retries, exponential backoff, circuit breakers, token buckets, and idempotent handlers.

1 match
Reliability & rate limiting medium

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.

rate-limiting threading global-counter
Python 
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…
12 0 Open

Browse by section

Each section groups closely related Python snippets.

Reliability & rate limiting — Python code examples

What you will find here

This page collects reliability & rate limiting snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

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.

Related coding tools

Free online Python IDE Write and run Python in your browser — no install. Free Python code formatter Format with autopep8 — side-by-side PEP 8 cleanup. Python code samples Copy-ready snippets to study and run in the IDE.