Things I learned while following a tutorial on how to build reusable models with scikit-learn.

1. When in doubt, go back to pandas.
2. When in doubt, write tests.
3. When in doubt, write helper methods to wrap existing objects, rather than creating new objects.

Ingesting “clean” data is easy, right?

Step 1 of this tutorial began with downloading data using requests, and saving that to a csv file. So I did that. I’ve used requests before, I had no reason to think it wouldn’t work. It looked like it worked.