Comment by cmdlineluser

Nice article.

In Python, I have been finding Polars nicer to use:

  (purchases
     .filter(pl.col("amount") <= pl.col("amount").median().over("country") * 10)
     .group_by("country")
     .agg(total = (pl.col("amount") - pl.col("discount")).sum())
  )

Not as compact as the R example but gets a bit closer compared to the pandas approach.

- https://pypi.org/project/polars/

- https://github.com/pola-rs/polars/