There's a lot of other packages out there for data stuff: - polars - tensorflow - pytorch - nltk - etc But if you can master the first 5 you'll set yourself up great for success with data

Statsbomb with another W

YouTube is an excellent learning resource. Especially for aspiring and current football professionals. If you're interested in analysis and learning Python, McKay Johns' YouTube channel is a must-watch. Here are 5 videos you shouldn't miss:

I’ve missed this

New tutorial for creating a Streamlit app on Monday 🎆 (Apparently a double thumbs up on iPhone cameras does this lol)

Streamlit has taken me by surprise with its ability to create data driven web apps easily I just released a new tutorial on creating a soccer analytics web app using Streamlit! youtube.com/watch?v=M_VknD…

Primera app web con Streamlit, je. Un mapa de todos los remates de la Copa América 2024 en el que se puede filtrar tanto por selección como con jugador. Me basé en el video que subió hoy McKay Johns en YouTube. Acá el link: …-america-2024-robaboian.streamlit.app Datos de StatsBombES.

Front end is hard 😅 I completely messed up my front end trying to get fancy with AI, so had to recreate it from scratch... Now onto populating the database

Dom’s guide is incredible for anyone wanting to find resources for learning sports analytics 🐐

7 years ago I didn’t know how to code at all It was difficult to grasp a lot of concepts at first Since then, I’ve tried to code almost every day Now it feels almost as if it were a second language Consistency is your best friend when learning