Yesterday I learned at the #EuroScipy2023 #IbisData tutorial that Ibis now offers an implementation of the across function first introduced in #dplyr to conveniently and concisely apply transformations on a set of columns defined by selectors (e.g. based on column data types or name patterns).
This is especially convenient to implement scalable, in-DB feature engineering for machine learning models.
More examples in these blog post:
