Django’s great for building web apps. Jupyter’s great for sharing reproducible analysis. Altair’s great for making analysis interactive, and easier to understand visually. Here’s how to use them all together.

For a large part of last year, I was working in a small, cross disciplinary team in a business information company, building data products to help make sense of public spending data.

Our shared language across the team was python, and over the year, we came up with a workflow that let our …