Mastering Exception Handling in Python: A Practical Guide

Catch Errors Like a Pro and Keep Your Code Running Smoothly

Photo by Lindsay Henwood on Unsplash

Exception handling is a crucial aspect of writing robust and reliable Python code. It allows you to gracefully handle errors and unexpected situations, preventing your program from crashing and providing a better user experience.

In this article, we’ll explore how to handle exceptions for specific use cases, such as network operations and user input validation, with up-to-date code examples.

Network Exceptions

When working with network operations, such as making HTTP requests or connecting to a server, you may encounter various exceptions related to network issues. Here’s an example of how to handle a common network exception:

import requests

try:
    response = requests.get("https://api.example.com/data")
    response.raise_for_status()
    data = response.json()
    # Process the data
except requests.exceptions.RequestException as e:
    print(f"An error occurred: {e}")

In this example, we use the requests library to make an HTTP GET request. The try block attempts to fetch the data from the API and parse the JSON response. If any exception occurs during this process, such as a network timeout or a server…