I got annoyed at the verbosity as well. Pandas is fairly verbose compared to eg data.table, but Polars really feels more like using "an API" than "a data manipulation tool".
I probably wouldn't use it for EDA or research, but I have started to use it in certain production scripts for the better performance.
R dplyr + data.table is still my favorite data manipulation experience. I just wish we had something like Matplotlib in R: ggplot is too high level, base graphics are too low level. Also Scikit-Learn is much more modular than Caret, which I don't really miss using.
I probably wouldn't use it for EDA or research, but I have started to use it in certain production scripts for the better performance.
R dplyr + data.table is still my favorite data manipulation experience. I just wish we had something like Matplotlib in R: ggplot is too high level, base graphics are too low level. Also Scikit-Learn is much more modular than Caret, which I don't really miss using.