I wondered if anyone has blog posts or personal experiences they’d like to share about using Haskell for data analysis or data science?
I’m a Haskell noob but data science is what I do professionally, and I feel a draw to applying one to the other. I don’t really mind coding fundamental algorithms from scratch, but one big stumbling block I see is data access libraries. E.g. working with GIS data, Parquet, images, and so on.
I also don’t see much support for the operational research side of things: mostly algorithms one cannot code alone. constraint solvers (GeCode), MIP/Linear programming, and so on.
Do you use Haskell for this sort of work? If so, how?