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Yes, this is the reason why there are no currently-maintained data-science/dataframe libraries in Go either


Every DataFrame library with a significant user base uses function chaining because that's the best workflow for such stuff. Also notebook support / magic cell comments for iterative EDA.

Python: polars-py, pandas, pySpark JVM: Spark R: R

Go can't compete with this even with SIMD support.




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