Nobel laureates tallied against their academic affiliations. Scraped from Wikipedia, totaled by a Python script.
Data · Research
The Universities with the Most Nobel Prizes
By Aron Frishberg
Heading off to the University of Chicago, I kept hearing that UChicago had a crazy amount of Nobel Prizes. As an amateur data scientist, I decided I needed to put this to the test.
Using Python, I coded a program that scraped a list of all Nobel Prize winners from Wikipedia, and then scrape each laureate's wikipedia page to find their academic affiliations (including alma matters and institutions where they've worked). I then created this page, which allows for analysis of the data. This includes filters to allow for specific prize categories, specific time periods and restricting the type of academic affiliation.
Chess‑Analytica, an open-source Python library published on GitHub.
Chess · Open Source
Chess-Analytica: A Library of One's Own
By Aron Frishberg
This idea began a while ago when I coded a project I called "Not Stockfish". Stockfish is currently the best chess engine in the world, and it plays essentially flawlessly. On the other hand, I do not play flawlessly (probably to your surprise, I'm actually very far off). So I thought it would be interesting to create a chess engine that ran off of my moves.
In building "Not Stockfish", I ran into a really annoying issue: there was no good way to pull chess games or analyze them in bulk. I ended up building the system myself, and realized that people around the world working on similar projects have probably redundantly built the same thing over and over. Similar to how Discord was built as a tool for a bigger project but evolved into the main focus, this was the same. I ended up coding the entire Python library as its sole contributor (this was pre-vibe coding, so every character you see was actually typed by me), spent five days writing very detailed docs, adopted the MIT license, and went through the motions to get it published as an open source library. In the end, I wanted to make sure that others could use the code seamlessly.
After this whole process, chess-analytica officially went into the public domain for any chess nerd to use freely. I never did any advertising. The only public thing I wrote about it, besides the documentation, is this page. My goal was just to make a piece of code that was helpful to others, so people didn't have to keep recoding the same infrastructure over and over. I would have been content if a single person other than me found use in it. To date, chess-analytica has over 50,000 installs and has become a staple for chess analytics.
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