This is almost exactly how you'd do in Haskell dataframes with some macro trickery though.
I gotta starting taking cold showers before a job interview for a job that I want - wash off the smell of desperation.
I've been looking at symbolic regression for some time now. I think most genetic approaches would benefit from large e graph databases to reduce the search space. Having to start every search from scratch every time seems silly.
Sometimes you gotta do the boring thing that gets the job done.
www.datahaskell.org/blog/2026/03...
Anyone know what could be a good second career? Even if coding makes it out of the AI era I fear it won’t be interesting.
Either is fine. Anything that won't be infected
Started a new position @coreweave.bsky.social working on @marimo.io
I took a crack at category theory + dataframes. I find the difficulty with reading and writing about this kind of stuff is that it's really hard to communicate what the "point" is. Hopefully it all makes sense:
mchav.github.io/what-categor...
Sabela - A reactive Notebook for #Haskell by the DataHaskell project
Announcement: discourse.haskell.org/t/ann-sabela...
Github Repository: github.com/DataHaskell/...
Every dataframe library ships with hundreds of operations. pandas alone has over 200 methods on a DataFrame. Is pivot different from melt? Is apply different from map? What about transform, agg, apply...
Today is a great day for some major news!
DataFrame v1.0.0.0 has been officially released! Step up your exploratory data analysis in #Haskell with Typed data frames, direct connection to HuggingFace data sets, and Python integration through Apache Arrow.
discourse.haskell.org/t/ann-datafr...
Haskell programming language
discourse.haskell.org
It’s been roughly two years of work on this and I think things are in a good enough state that it’s worth calling this v1. Features Typed dataframes We got there eventually and I think we got there i...
