🌀 𝐩𝐢𝐩 𝐢𝐧𝐬𝐭𝐚𝐥𝐥 𝐮𝐧𝐫𝐚𝐯𝐞𝐥𝐬𝐩𝐨𝐫𝐭𝐬 I’m thrilled to announce today marks the release date of my very own open-source Python package! 𝐮𝐧𝐫𝐚𝐯𝐞𝐥𝐬𝐩𝐨𝐫𝐭𝐬 is designed to transform raw sports data into meaningful insights. 🔗 tinyurl.com/unravelsports

💜 football is like a graph... players are nodes, passes are edges.. so it makes sense to try graph networks.

Recently followed McKay Johns tutorial on how to make plots like the The Athletic The key takeaway was clear - Simplicity Is The Key Plot - Man City ShotMap for the three GWs and related stats. Also Top 5 players who took the most shots. I see you Joško Gvardiol 🫡

Wordalisations: automated explanations of data. It is my great pleasure to announce that Twelve football have created an open-source educational version of our Twelve GPT product. Now you can learn how to create football and other wordalisations! link.medium.com/bxyg1hsxWMb

If you ever wondered if learning Matplotlib is worth your while - check out this list of the tools that build on top of Matplotlib or extend its capability. Translation: Learning it will most certainly pay big dividends as you dive into the wider Python ecosystem. Guaranteed.