My earliest memory of analytics is my sister and I watching my father creating Lotus 123 spreadsheets to track and even visualise our weekly performances at athletics. Despite being a fairly average athlete, I remember being transfixed as the charts updated each week. Now we live in the Strava era and there were a couple of questions I had that I couldn't answer without using their API to get at my data.

A bit annoyed at finding myself having to re-learn a good workflow for setting up dev environments for Jupyter projects, I thought I'd try to list my workflow as is and update as I improve so I can refer back after a hiatus.