About two months ago, my colleague Niels published an amazing blogpost. He showed us how to solve a problem that I really recognized: to make sense of your age-old Spotify playlists that are getting seriously out of hand. I have this problem in the real world: I keep adding songs to my "favorites" playlist, or to some collaborative playlists that I have with my kids/friends - but I end up with these huge gathering pots of songs that... really don't make a lot of sense anymore, and really have not much use anymore.
So Niels' blogpost was really useful: he used python, the spotipy wrapper of the Spotify Web API, and of course our favourite database, Neo4j and some of it's graphy tools (Graph Data Science to the rescue) to make a really fancy new set of Spotify playlists that were much more useable. Take a look at Niels' script over here. So I wanted to have a play with Niels' work in my own environment - and do some more exploration in Neo4j. Here's what happened.
