Python catch error

Catch Error with Python - A Simple Guide

As a Python developer, I understand the frustration of dealing with errors. From the many syntax deviations to debugging code, errors are part of the development life. That’s why the language developers have come up with the Raise and Try/Except mechanism that is handy for application development. In this article, I’ll explain the concept of catch error with Python and how to use it effectively.

Cause

Any non-trivial programming language includes exception handling capabilities. Python is no exception. The input-output operation of various programs often go wrong, be it machine, user or environment. Exceptions can also occur when the code you’re running requires specific libraries, system resources, and environmental parameters. To manage these issues, Python allows us to capture errors, validate them, and get useful information. Specifically, when writing code, you can stop the program’s execution if an issue with your code is encountered.

Solution

The raise and try/except mechanism in Python enables the developers to enclose source code in a segment where errors can be caught and handled properly. The keyword ‘try’ is used to initialize the error-handling process. When an error is encountered that can’t be handled, an exception is raised. The ‘except’ keyword is a clause that runs when an exception occurs.
Thankfully, using Python catch error is quite manageable. You can wrap a potentially faulty code segment in the try/except clause to catch exceptions from that code. Whenever an exception is raised, you can use the ‘except’ keyword to write a message or perform custom operations such as rollback or return a meaningful message.

Conclusion

Using Python catch error not only makes your application bug free but also makes it easy to understand. This article has provided guidelines on how to use the try-except block efficiently to catch errors in Python.
If you need any more help with handling errors in Python, feel free to leave a comment.