Error Handling with Retry Logic in Python

Many API calls or database queries may fail temporarily. Adding retry logic helps make code more resilient.

import time
import requests

def fetch_data_with_retries(url, retries=3, delay=2):
    for i in range(retries):
        try:
            response = requests.get(url)
            response.raise_for_status()
            return response.json()
        except requests.exceptions.RequestException as e:
            print(f"Attempt {i + 1} failed: {e}")
            if i < retries - 1:
                time.sleep(delay)
    return None  # Return None if all attempts fail

# Usage
data = fetch_data_with_retries("https://api.example.com/data")