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I might be up for giving a short talk on this if there is interest.
Having spent a ton of time debugging unexpected issues in large Python statistics packages earlier in my career, I've often thought that it would be awesome to have a data science environment in an ML-like language.
However, it's not trivial to design an appealing workflow for exploratory data analysis and data manipulation that works well in ML-like type systems. In the dominant data science languages, Python and R, these workflows are centered around data frames.
I could review the existing efforts in Haskell, OCaml, Scala and Idris and then collect sparks of inspiration from the audience. :)
The text was updated successfully, but these errors were encountered:
There is no "full talk" confirmed yet for this month's meetup. Would you be interested on presenting this one, the last week of September if we will find another talk to pair it with?
I would love to but that's probably unrealistic given my work schedule. :( I'll probably have to make this talk whenever I have time, then afterward think about scheduling it.
I might be up for giving a short talk on this if there is interest.
Having spent a ton of time debugging unexpected issues in large Python statistics packages earlier in my career, I've often thought that it would be awesome to have a data science environment in an ML-like language.
However, it's not trivial to design an appealing workflow for exploratory data analysis and data manipulation that works well in ML-like type systems. In the dominant data science languages, Python and R, these workflows are centered around data frames.
I could review the existing efforts in Haskell, OCaml, Scala and Idris and then collect sparks of inspiration from the audience. :)
The text was updated successfully, but these errors were encountered: