The Dos and Don’ts of Handling Errors in Python


As a Python programmer, it’s important to know how to handle errors properly.

After all, errors are inevitable–so it’s crucial that you know how to deal with them when they occur.

In this blog post, we’ll go over the dos and don’ts of handling errors in Python so that you can avoid making common mistakes. Let’s get started!

Do: Use Exceptions to Handle Errors

The first thing you should do when handling errors in Python is to use exceptions.

Exceptions are special objects that represent errors.

They’re used to indicate that something has gone wrong and to gracefully exit a program when an error occurs. To use an exception, you first need to import the built-in exception class:

import Exception
Code language: JavaScript (javascript)

After importing the Exception class, you can raise an exception when an error occurs using the raise keyword:

raise Exception("An error has occurred")
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Don’t: Use Pass Statements to Handle Errors

While the pass statement doesn’t do anything, it’s often used as a placeholder in Python programs.

For example, if you have a for loop that doesn’t need an explicit body, you can use the pass statement as a placeholder:

for i in range(10): pass

However, don’t use the pass statement to handle errors! If you do, your program will continue running even if an error occurs.

This can lead to unexpected results and make debugging your code much harder.

Do: Use Try/Except Blocks to Handle Errors

Try/except blocks are another way of handling errors in Python. They allow you to test for errors and take action if an error occurs. To use a try/except block, start by writing the try keyword followed by a colon:

try: # run some code here a = 2 b = 0 c = a/b print(c) except Exception as e: # handle the exception here print(e)
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Don’t: Ignore Errors Entirely

It’s tempting to just ignore errors altogether and hope that they go away on their own.

However, this is never a good idea! Ignoring errors will only make them worse and cause more problems down the road.

If you’re not sure how to handle an error, speak with a senior developer or reach out to a Python expert for help.

Error handling is vital for any Python programmer. By following the dos and don’ts listed above, you can avoid making common mistakes and write code that is robust and easy to debug.

Need help with your Python code? Contact us today – we’re always happy to help!

Andy Avery

I really enjoy helping people with their tech problems to make life easier, ​and that’s what I’ve been doing professionally for the past decade.

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