mchav

3 ms·

1.
by mchav 2mo ago
Can these sorts of primitives be used to create broader "architectural" linters?
2.
by mchav 3mo ago
Great feature. Although I’m starting to get annoyed by obvious signs of LLM writing like no X, no Y etc.
3.
by mchav 4mo ago
A combination of vegalite and a custom plotting library with SVG output.
4.
Show HN: Sabela – A Reactive Notebook for Haskell(sabela.datahaskell.com)
46 points by mchav 4mo ago|5 comments
5.
by mchav 5mo ago
I think the original author picked this example to broadly illustrate how easy it is to make ad hoc changes to your query without worrying about lot about implementation details. Polars, for example, converges on a similar API and gives you
6.
Pandas feels clunky coming from R. What about Haskell?(mchav.github.io)
26 points by mchav 5mo ago|7 comments
7.
Interpretable models with boosting, symbolic regression and e-graphs(mchav.github.io)
1 points by mchav 6mo ago|0 comments
8.
What category theory teaches us about dataframes(mchav.github.io)
190 points by mchav 6mo ago|65 comments
9.
by mchav 6mo ago
Had always hoped for something like this since the days of Spark and Frameless. Better late than never. Now hoping to build a bunch of Neuro symbolic AI on top of this.
10.
by mchav 6mo ago
No but something is in the works! We are building reactive notebooks that we will eventually give export capabilties. You can try it from https://www.datahaskell.org/ under "try out our current stack"
11.
by mchav 6mo ago
Author here: Would have loved to but this is round about my wedding anniversary. Will ask some Haskell friends to submit though.
12.
by mchav 6mo ago
Author here. At the time I worked in fraud detection and we needed to automate file generation for our BRMS. Initially created this to experiment with “models as dataframe expressions” and Haskell is great for DSL-like stuff. That work is s
13.
Show HN: Sabela – A Reactive Notebook for Haskell(datahaskell.org)
3 points by mchav 7mo ago|0 comments
14.
Show HN: Using an LLM as a "semantic regularizer" for feature engineering(medium.com)
1 points by mchav 9mo ago|0 comments
15.
Learning better decision trees – LLMs as Heuristics for Program Synthesis(mchav.github.io)
1 points by mchav 9mo ago|0 comments
16.
State of Haskell Survey 2025(surveymonkey.com)
3 points by mchav 10mo ago|0 comments
17.
Haskell IS a great language for data science(jcarroll.com.au)
6 points by mchav 10mo ago|0 comments
18.
by mchav 10mo ago
RE Jupyter not having advanced features. Yeah it's a bummer. It seems that notebooks that support these sort of "reactive" workflows are custom built around that model. Marimo, Pluto.jl, and observable are mostly language spe
19.
by mchav 10mo ago
The rule of thumb is somewhere between 5 and 10x difference. Which is large if you're going to do anything heavy but for most practical purposes it's fine. Roughly the difference between C and Python.
20.
Comparing xeus-Haskell and ihaskell kernels(datahaskell.org)
13 points by mchav 10mo ago|8 comments
21.
Welcome to DataHaskell(datahaskell.org)
6 points by mchav 11mo ago|2 comments