Day 17 of the Python course dives into advanced tools for handling arguments, collections, and iteration. In this post, I’ll explain how these tools work with real-world examples and share how I’m learning to master them. This day has been split over two posts, with the first half discussing

Error handling is all about controlling how the program deals with and handles errors using exceptions. As developers or beginners in coding, one of the first things we do is learn how to read error messages and debug. What happens when an error occurs with a user of the system, not a developer?

This module alone is used that much that it needs its own unit. We may not encounter this function often when using systems that have been designed, but there are elements within the system that utilise it. Consider tasks such as saving information, uploading data, or recording general timestamp information. We need to be able to collect and log all that information. This is how we do it and use it.

Error messages are part of learning to code. In this post, I explore the most common Python errors, what they actually mean, and how to respond to them calmly and logically. The aim isn’t to memorise every error, but to build a mindset that helps debug issues and write more resilient code.