Reposted by Michael Chavinda
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-...
flora.pm/packages/@ha...
www.reddit.com/r/haskell/co...
discourse.haskell.org/t/layoutz-0-...
@hackage › layoutz — Flora.pm
Simple, beautiful CLI output for Haskell
flora.pm
December 5, 2025 at 9:59 PM
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-...
flora.pm/packages/@ha...
www.reddit.com/r/haskell/co...
discourse.haskell.org/t/layoutz-0-...
Reposted by Michael Chavinda
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:
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:
Haskell IS a Great Language for Data Science
I’ve been learning Haskell for a few years now and I am really liking a lot of the features, not least the strong typing and functional approach. I thought it was lacking some of the things I missed from R until I found the dataHaskell project. In this post I’ll demonstrate some of the features and explain why I think it makes for a good (great?) data science language.
jcarroll.com.au
December 5, 2025 at 6:07 AM
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:
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:
Article to checkpoint where we are with the Haskell Jupyter kernels.
www.datahaskell.org/blog/2025/11...
www.datahaskell.org/blog/2025/11...
A tale of two kernels
Overview
www.datahaskell.org
November 26, 2025 at 7:53 AM
Article to checkpoint where we are with the Haskell Jupyter kernels.
www.datahaskell.org/blog/2025/11...
www.datahaskell.org/blog/2025/11...
There’s something beautiful at the end of all this. I just know it.
Welcome to dataHaskell (revived)! www.datahaskell.org/blog/2025/11...
by @mschav.bsky.social
#Haskell #DataScience
by @mschav.bsky.social
#Haskell #DataScience
Welcome to dataHaskell (revived)!
We’re rebooting dataHaskell! We’ve collected learnings from the previous dataHaskell effort and decided to revive the effort with a simple promise: make doin...
www.datahaskell.org
November 12, 2025 at 1:40 AM
There’s something beautiful at the end of all this. I just know it.
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
October 20, 2025 at 1:53 AM
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...
Covers Jupyter notebooks, dataframes, charting and machine learning with the iris dataset as the working example.
mchav.github.io/iris-classif...
Progress towards Kaggle-style workflows in Haskell
There’s been a lot of work in the Haskell ecosystem that has made it easier to write interactive Kaggle-like scripts. I’d like to showcase the synergy between 3 such tools: dataframe (my own creation)...
mchav.github.io
October 14, 2025 at 6:24 AM
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...
Covers Jupyter notebooks, dataframes, charting and machine learning with the iris dataset as the working example.
mchav.github.io/iris-classif...
Lorem ipsum is taken from an excerpt about stoicism which says:
“The wise man, therefore, always holds in these matters to this principle of selection: he rejects pleasures to secure other greater pleasures, or else he endures pains to avoid worse pains.”
“The wise man, therefore, always holds in these matters to this principle of selection: he rejects pleasures to secure other greater pleasures, or else he endures pains to avoid worse pains.”
October 9, 2025 at 11:46 PM
Lorem ipsum is taken from an excerpt about stoicism which says:
“The wise man, therefore, always holds in these matters to this principle of selection: he rejects pleasures to secure other greater pleasures, or else he endures pains to avoid worse pains.”
“The wise man, therefore, always holds in these matters to this principle of selection: he rejects pleasures to secure other greater pleasures, or else he endures pains to avoid worse pains.”
Reposted by Michael Chavinda
Swiss insurer La Mobilière refactored their risk model to Polars, achieving 5-10x speedups and enabling actuaries to run millions of simulation years on laptops. A scale previously unfeasible with pandas due to memory and single-core limitations.
pola.rs/posts/case-m...
pola.rs/posts/case-m...
Polars helps coping with black swan events at La Mobilière
DataFrames for the new era
pola.rs
October 9, 2025 at 11:02 AM
Swiss insurer La Mobilière refactored their risk model to Polars, achieving 5-10x speedups and enabling actuaries to run millions of simulation years on laptops. A scale previously unfeasible with pandas due to memory and single-core limitations.
pola.rs/posts/case-m...
pola.rs/posts/case-m...
The MIT program synthesis class finally has problem sets. I’ll dedicate most of the fall/winter to completing it.
people.csail.mit.edu/asolar/Synth...
people.csail.mit.edu/asolar/Synth...
Introduction to Program Synthesis
people.csail.mit.edu
October 4, 2025 at 6:13 PM
The MIT program synthesis class finally has problem sets. I’ll dedicate most of the fall/winter to completing it.
people.csail.mit.edu/asolar/Synth...
people.csail.mit.edu/asolar/Synth...
There are a lot of things I wish I had the discipline to learn over the years. I convinced myself I needed the right mentor or book. Years later, more has been lost from indecision than wrong decision.
October 3, 2025 at 9:47 PM
There are a lot of things I wish I had the discipline to learn over the years. I convinced myself I needed the right mentor or book. Years later, more has been lost from indecision than wrong decision.
Reposted by Michael Chavinda
“When a full-service grocer leaves a neighborhood, it doesn’t just take away a shopping option; it reshapes the local food landscape. Competition shrinks, which means prices rise and choices narrow. Families end up paying more whether they stay local or spend extra time and money traveling farther.”
NEW // Op-Ed: How to Confront Fred Meyer Closures and Guarantee Food Access
By Davida Sharpe
via @theurbanist.org // 🔗 www.theurbanist.org/2025/09/16/o...
By Davida Sharpe
via @theurbanist.org // 🔗 www.theurbanist.org/2025/09/16/o...
Op-Ed: How to Confront Fred Meyer Closures and Guarantee Food Access » The Urbanist
# Kroger blames theft for four local grocery store closures, but the real story is more complicated. Kroger seeks to squeeze out more profit by driving up food insecurity. Standing up public or nonpro...
www.theurbanist.org
September 19, 2025 at 2:44 PM
“When a full-service grocer leaves a neighborhood, it doesn’t just take away a shopping option; it reshapes the local food landscape. Competition shrinks, which means prices rise and choices narrow. Families end up paying more whether they stay local or spend extra time and money traveling farther.”
Everything is converging to the same syntax.
🐼 pandas continues to advance!
The new pd.col() syntax in pandas 3.0 makes data transformations cleaner and more predictable than lambda functions.
Marco Gorelli shows how expressions solve scoping issues while enabling more efficient method chaining.
💡 Discover more:
The new pd.col() syntax in pandas 3.0 makes data transformations cleaner and more predictable than lambda functions.
Marco Gorelli shows how expressions solve scoping issues while enabling more efficient method chaining.
💡 Discover more:
Expressions are coming to pandas!
`pd.col` will soon be a real thing!
buff.ly
September 19, 2025 at 1:22 PM
Everything is converging to the same syntax.
Doing important things with AI is misguided. We use tasks to build context. That context begets creativity and problem solving in the future. Doing stuff is both a creational and transformative process. AI is faster but using it undercuts the most important investment you could make in your task.
September 17, 2025 at 10:31 PM
Doing important things with AI is misguided. We use tasks to build context. That context begets creativity and problem solving in the future. Doing stuff is both a creational and transformative process. AI is faster but using it undercuts the most important investment you could make in your task.
Have some pretty cool examples of feature engineering using program synthesis on Haskell data frames.
Give a function space, we run a breadth first search to find what functions (and their compositions) have the highest correlation with a target variable.
github.com/mchav/datafr...
Give a function space, we run a breadth first search to find what functions (and their compositions) have the highest correlation with a target variable.
github.com/mchav/datafr...
dataframe/app/Main.hs at feature_engineering · mchav/dataframe
A fast, safe, and intuitive DataFrame library. Contribute to mchav/dataframe development by creating an account on GitHub.
github.com
September 13, 2025 at 10:18 PM
Have some pretty cool examples of feature engineering using program synthesis on Haskell data frames.
Give a function space, we run a breadth first search to find what functions (and their compositions) have the highest correlation with a target variable.
github.com/mchav/datafr...
Give a function space, we run a breadth first search to find what functions (and their compositions) have the highest correlation with a target variable.
github.com/mchav/datafr...
Reposted by Michael Chavinda
#AmeriHac – The hackathon by the #Haskell Foundation in New York City has been announced for the 7th and 8th of February 2026!
discourse.haskell.org/t/the-inaugu...
discourse.haskell.org/t/the-inaugu...
The Inaugural North America Haskell Hackathon
North American Hackathon The Haskell Foundation is proud to announce the inaugural AmeriHac, a two day haskell hackathon, with this iteration being in New York City! Jane Street has kindly offered to ...
discourse.haskell.org
September 13, 2025 at 4:39 PM
#AmeriHac – The hackathon by the #Haskell Foundation in New York City has been announced for the 7th and 8th of February 2026!
discourse.haskell.org/t/the-inaugu...
discourse.haskell.org/t/the-inaugu...
Starting my foray into program synthesis and data wrangling.
Currently trying to implement some interesting papers.
Currently trying to implement some interesting papers.
September 9, 2025 at 7:05 PM
Starting my foray into program synthesis and data wrangling.
Currently trying to implement some interesting papers.
Currently trying to implement some interesting papers.
Reposted by Michael Chavinda
Check out @andrewlamb1111.bsky.social 's talk at the recent Iceberg meetup for a condensed overview of the the new Variant type coming to Parquet #apacheparquet #apachearrow
Recording of "Introduction to Variant in @ApacheParquet ": www.youtube.com/watch?v=nlOJ...
Here are the slides: docs.google.com/presentation...
Here are the slides: docs.google.com/presentation...
September 7, 2025 at 6:19 PM
Check out @andrewlamb1111.bsky.social 's talk at the recent Iceberg meetup for a condensed overview of the the new Variant type coming to Parquet #apacheparquet #apachearrow
Considering deleting my LinkedIn. I’ve never liked the app and it’s kind of a cesspool.
September 7, 2025 at 4:28 PM
Considering deleting my LinkedIn. I’ve never liked the app and it’s kind of a cesspool.
I asked ChatGPT to roast me and it actually hurt my feelings. lol.
September 1, 2025 at 6:46 AM
I asked ChatGPT to roast me and it actually hurt my feelings. lol.
This was a pretty good side mission.
New kid on the block: Granite is the new terminal plotting library from @mschav.bsky.social's dataframe project
discourse.haskell.org/t/granite-a-...
github.com/mchav/granite
#Haskell #DataViz
discourse.haskell.org/t/granite-a-...
github.com/mchav/granite
#Haskell #DataViz
Granite: a terminal plotting library
Have been working on this for some time as part of dataframe but decided to split it off in case anyone also finds it useful. The main library has no dependencies except base (by design) so it should...
discourse.haskell.org
August 19, 2025 at 12:54 PM
This was a pretty good side mission.