So I moved into industry 1.5 months ago, which has meant a proper switch from R
to Python
(I love both). Here are a few observations for statistics-related stuff in this switch (mainly GLMs, statistical inference, contrasts)
- #polars is really great, I love LazyFrames & streaming millions of rows of parquet files, categorical data, missing data.
- I don't really like using #statsmodels, the interface is clunky and the formula API is unfinished
1/n