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Exception Handling in Python

Derry Ross
Python in Plain English
5 min readMar 22, 2023

Python is a versatile programming language known for its simplicity, readability, and flexibility. Its ease of use and powerful libraries have made it popular among developers, from beginners to experts. One of the key features of Python is its ability to handle exceptions. Exceptions are errors that occur during the execution of a program. They can occur for many reasons, such as invalid input, file not found, or memory errors. Handling exceptions is essential in programming because it helps prevent the program from crashing and provides users with useful feedback. In this article, we will take a closer look at exception handling in Python.

Photo by Elisa Ventur on Unsplash

What are Exceptions in Python?

In programming, an exception is an error that occurs during the execution of a program. When an exception is encountered, the program stops running and displays an error message. Exceptions can occur for many reasons, such as invalid input, file not found, or memory errors. Exceptions are important because they help developers identify errors and fix them.

Python has a built-in mechanism to handle exceptions. When an exception occurs, Python raises an exception object. This object contains information about the error, including the type of error and a traceback, which shows where the error occurred in the code. Python provides several built-in types of exceptions, such as ValueError, TypeError, and ZeroDivisionError.

Handling Exceptions in Python

In Python, exceptions are handled using the try-except block. The try block contains the code that may cause an exception, and the except block contains the code to handle the exception. If an exception is raised in the try block, the corresponding except block is executed.

Here is an example of how to use the try-except block in Python:

try:
# Code that may cause an exception
except ExceptionType:
# Code to handle the exception

In this code, ExceptionType is the type of exception that you want to handle. For example, you can use the ValueError type to handle invalid input errors. You can also use the generic Exception type to handle any exception that occurs.

Published in Python in Plain English

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Written by Derry Ross

I am an experienced, skilled programmer and computer scientist with proficiency in multiple languages, technologies, and expertise in data science.

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