How do I retry operations with backoff in Python?

In Python, you can implement retry operations with backoff using various libraries or custom logic. The popular `backoff` library provides a straightforward way to add retries with exponential backoff. Below is an example of how to use this library to handle retries for operations that may fail.

import backoff import requests @backoff.on_exception(backoff.expo, requests.exceptions.RequestException, max_tries=5) def fetch_data(url): response = requests.get(url) response.raise_for_status() # Raise an error for bad responses return response.json() url = 'https://api.example.com/data' try: data = fetch_data(url) print(data) except requests.exceptions.RequestException as e: print(f"Operation failed: {e}")

Python backoff retry requests exception handling exponential backoff API requests

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?