Why and How to Set Up Logging for Python Projects

Python’s logging library is very powerful but generally under-utilised in data science projects.

Most developers default to using standard print statements to track important events in their applications or data pipelines.

It makes sense.

‘Print’ does the job. It’s easy to implement with no boilerplate code and doesn’t require reading documentation to understand how to use it.

But as the code base gets larger, you can quickly run into some issues due to the …

data science logging projects python set