Michael Chavinda

Haskell parquet features now tracked on the official parquet site: parquet.apache.org/docs/file-fo...

Some thoughts on what I call context complexity: mchav.github.io/context-comp...

Zurihac talk is up: youtu.be/WpDVrUdbT2o?...

On the blog: "Quick tips for fast iteration in #Haskell" by Tom Ellis & Laurent P. René de Cotret blog.haskell.org/quick-tips-f...

Prompting is really a form a brainrot.

Who needs some good news today? @pikeplacemarket.bsky.social is introducing a "Locals Night" every Wednesday evening through September 9th where there will be a farmers market on the street and many businesses will be open later than usual! You love to see it. www.pikeplacemarket.org/events-calen...

Models are programs A motivation and brief tour of dataframe-learn. At its best DataHaskell is a place for these kind of cross-cutting experiments. www.datahaskell.org/blog/2026/07...

I recently really enjoyed @mschav.bsky.social's talk at #ZuriHac so I tried to reproduce this chart in Sabela (a Jupyter-notebook-like project for #Haskell) seems like this Mbappé guy is not so bad either! 🤭

Before we solve data workflows in Haskell we have to teach people Haskell. sabela.datahaskell.com/c/1ea40000

sabela.datahaskell.com Sabela now has a community gallery. The highlighted examples show that Haskell can be a good tool for exploratory work.

It’s pretty annoying that LLMs like to use the construction “X is real”.

A small experiment comparing token efficiency between Haskell and Python. Not rigorous at all but I’ll follow it up eventually. mchav.github.io/a-first-look...

Anyone work with time series data professionally? Either modeling or data engineering? Have some questions and would appreciate a call.

Lake Washington Blvd will be open to people & closed to car traffic every weekend this summer from Memorial Day to Labor Day! The predictable schedule makes it easier walk, bike, roll, along, or drive to the boulevard. Thank you Mayor Wilson, community advocates, and Rainier Valley Safe Streets.

Why do I take this personally? www.reddit.com/r/dataengine...

Using your debt, your search history, and your private data to decide how much you’re worth? Hell no. This is what happens when technology is built to serve profit instead of people. This is why every worker needs a union.

I’ve been thinking a lot about how to scale symbolic regression: this seems like a plausible direction. mchav.github.io/grow-and-mow/

With more and more code being written by AI I think human coding will mostly be for prototyping and brain storming. Notebooks will become a much more important developer interface. So I mixed interactivity, Lean, Haskell, and Python into a single notebook runtime sabela.datahaskell.com

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...

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.

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...

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.

Started a new position @coreweave.bsky.social working on @marimo.io

Sometimes you gotta do the boring thing that gets the job done. www.datahaskell.org/blog/2026/03...

Sabela - A reactive Notebook for #Haskell by the DataHaskell project Announcement: discourse.haskell.org/t/ann-sabela... Github Repository: github.com/DataHaskell/...

I gotta starting taking cold showers before a job interview for a job that I want - wash off the smell of desperation.

Small experiment: treat feature engineering as program synthesis, then use an LLM as a lightweight prior over which derived quantities are “nameable.” The learner stays classical; the artifact gets way more readable. mchav.github.io/learning-bet...

Symbolic AI is built on the premise that models should be presented in terms that are understandable to us. When you interact with a symbolic system you learn something about the reality that it tries to model. That alone makes symbolic approaches worth betting on in the long term.

All is data science www.datahaskell.org/blog/2025/12...

Great article! The fix also really outlines that contributions don’t have to be hundreds of lines of code to be impactful.

Just updated the dataframe SQL library to auto generate expression bindings from the table types. The read input surface is looking pretty great now: CSV, JSON lines, Parquet and now various SQL DBs. hackage.haskell.org/package/data...

The State of #Haskell 2025 survey is out! Please take ~10 minutes to fill this out and share it with friends/colleagues/coworkers, whether or not they are users of Haskell.

Layoutz – A tiny zero-dep lib for beautiful #Elm-style TUI's in #Haskell 🪶 flora.pm/packages/@ha... www.reddit.com/r/haskell/co... discourse.haskell.org/t/layoutz-0-...

Perhaps you saw the post series "Python is not a great language for data science"... well, here's Haskell IS a Great Language for Data Science https://jcarroll.com.au/2025/12/05/haskell-is-a-great-language-for-data-science/ #haskell :haskell: #rstats :rstats:

Great article that gives a quick run through of Hasktorch. www.stackbuilders.com/insights/has...

Article to checkpoint where we are with the Haskell Jupyter kernels. www.datahaskell.org/blog/2025/11...

There’s something beautiful at the end of all this. I just know it.

Continuing the series on program synthesis: mchav.github.io/an-introduct...

As cultural beings, we are echoes of the past: even our most personal thoughts, emotions, and experiences are mediated by words, images, and ideas we inherited from previous generations. Your mind was born and started growing many thousands of years before your body.” Francois Chollet

Wrote a new article where I checkpoint the work we’ve done so far enabling Kaggle style EDA-to-model workflows in Haskell. Covers Jupyter notebooks, dataframes, charting and machine learning with the iris dataset as the working example. mchav.github.io/iris-classif...