Integrating language models into your projects is (probably) far easier and cheaper than you think. Learn how with our Intro to the ChatGPT API - full tutorial and code in the link below 👇
fcpython.com/blog/introducti…
With the World Cup kicking off tomorrow, really cool analysis from @TwoCircles on how big games in larger stadiums drive visibility and fandom in WSL and Frauen Bundesliga. Substance and data in the full report is well worth a read: twocircles.com/gb-en/article…
Replying to @classicshirts
We built an AI football shirt generator that learned from the kits on Classic Football Shirts!
It designed plenty of strong hall of shame contenders...
Check out some of tomorrow's classics here: fcpython.com/blog/can-machin…
Dataset contains plenty of useful information, not just FPL metrics.
Full list below, but even with only minutes, goals, xG, team and player images you can do loads of fun stuff.
Looking for data to practice with and analyse?
Grab the data powering FPL in just a few lines of #Python and off you go👇
🚨📽️ New tutorial! An introduction to animated visualisations in #Python. Learn how to bring your data to life with an easy-to-follow example.
Full data and code here 👉 fcpython.com/visualisation/c… #100DaysOfCode
Can machine learning design a football kit? 🤖👕
We took a run at building a dataset and model that teaches itself to build shirts from scratch. Process & results below 👇
fcpython.com/blog/can-machin…
🚨🖼️ New tutorial! Introduction to procedurally generated images in #Python!
Learn how a computer reads images and how we can create our own pixel footballers from scratch
fcpython.com/blog/introducti…
#100DaysOfCode #CodeNewbie
#30DayMapChallenge 2021 Day 3: Polygons
Looking at where teams are built out of, each shaded area covers the countries represented by a given team.
Eintracht Frankfurt had the widest spread that we had seen, while Watford & Lille cover the most unique countries (19).
Replying to @Ryans_Rovers @malsharman
Coupe de France is amazing for these - 17,142km for one game!
Apologies for leaving Phoenix out, a more complete version below!
Replying to @malsharman
Looks much more complete with the A-League in there!
#30DayMapChallenge 2021 Day 2: Lines
We map a few of the longest away days in world football. How many FC Kaliningrad Ultras take on the 7-day Trans-Siberian Railway for FC SKA away?!
We thought Argyle fans had it bad 😅
#30DayMapChallenge 2021 Day 1: Points
Where were the 185,681 pro footballers featured on Wikipedia born?
Wonder how this would have looked 20 years ago and how it will look 20 years into the future! 🤔
What does #FIFA22 think about age curves? 👶👴
We took the top 250 players at each age and looked at how ratings rise and fall over the years 👇
As well as the rating changes, check out the top rated player of each year in the viz!

















