substack.com - Alex Marin Felices
Shape Graphs Offer Instantaneous, Explainable Representations of Tactical Positioning in Football.
mediafire.com - Martin
Hi friend,
About a month ago, I launched my Football Analytics with Python – The Fast-Track Guide for Beginners — a short, no-nonsense way to help you get started quickly with Python for football analytics.
The plan was simple: you get a fast on-ramp into Python, and I get to monetise a bit of my writing for The Python Football Review.
Then, the very week of the launch, FBref tightened access to their website… and even the lightest scraping through pandas.read_html suddenly stopped working.
The reality is that there’s no way around FBref now without proper scraping — and teaching it is an entirely different skillset, far beyond the spirit of a “fast track.” If you need to learn Selenium, BeautifulSoup, HTML structure, session cookies, and browser automation… well, that’s a completely different product.
Since the whole promise of the guide was “use advanced football data, fast,” I didn’t feel right keeping it up. So I pulled it and refunded everyone immediately.
And honestly, thank you — to the people who emailed me suggestions, workarounds, and incredibly kind words. (I did spend six months building it, and it was pretty discouraging to see it break overnight.) And thank you as well for the genuinely positive reception from the 50 people who bought it. That meant a lot.
That said, I rebuilt the guide removing all FBref dependencies (so no FBref data this time, sorry), slightly rewriting certain parts and making sure everything runs smoothly out of the box.
And today, I’m giving you the fully updated guide completely free, along with all the code.
You don’t need to buy anything. You don’t need to sign up again. Just download it and start learning.
youtube.com - Ole Peters
In June 2025, the textbook `An introduction to ergodicity economics' was published, with a launch party held at Gresham College in London. The video is a recording of a live lecture there about why we wrote it.
substack.com - Christoph Molnar
A most annoying misconception in the world of machine learning interpretability
