Python Retry Mechanism in a Loop

In my experience, for production-grade applications, adding a backoff mechanism is essential. It prevents retrying too rapidly in cases like network failures, which could overwhelm resources.

import time

for i in range(0, 100):
    retries = 3
    while retries > 0:
        try:
            # Perform some operation
            print(f"Processing {i}")
            break  # Exit the loop if successful
        except SomeException as e:
            retries -= 1
            print(f"Error on {i}: {e}. Retrying in 2 seconds...")
            time.sleep(2)  # Wait before retrying
            if retries == 0:
                print(f"Failed to process {i} after 3 attempts.")

This approach ensures retries are spaced out, which is particularly useful for handling transient issues like network interruptions or rate limits in APIs.