Catch Multiple Errors at Once: Mastering Python’s Tuple Exceptions

Mastering Exception Handling in Python

The Power of Tuple Exceptions

When working with Python, understanding how to handle exceptions is crucial for writing robust and reliable code. One powerful feature of Python’s exception handling mechanism is the ability to catch multiple exceptions using a tuple.

Catching Multiple Exceptions

Imagine trying to add a string and an integer together – a classic recipe for disaster. In this scenario, a TypeError is raised. But what if we want to catch not only TypeError but also ValueError? That’s where tuples come in handy. By passing multiple exceptions as a tuple in the except block, we can catch both errors with ease.


try:
a = "string"
b = 1
c = a + b
except (TypeError, ValueError):
print("An error occurred!")


Order Matters

It’s essential to note that the order of exceptions in the tuple matters. The first exception that occurs will be caught, and the subsequent ones will be ignored. So, if you’re expecting multiple exceptions, make sure to prioritize them correctly.

Real-World Scenarios

Let’s consider another example. Suppose we’re asking the user for input, and we expect an integer. But what if they enter a string instead? In this case, a ValueError is raised.


try:
a = int(input("Enter a number: "))
except (ValueError, TypeError):
print("Invalid input!")


By using tuples to catch multiple exceptions, we can write more robust and flexible code that can handle a variety of errors. So, take your Python skills to the next level and master the art of exception handling!