When performing a left join, which is faster: Polars in Python, Pandas in Python, Tidyverse in R, or data.table in R? I pit four data science packages against each other when performing a left join of data frames.

Here's the Polars module:
https://pola.rs/

Here's the Pandas module:
https://pandas.pydata.org/

Here's Tidyverse:
https://dplyr.tidyverse.org/reference...

Here's data.table:
https://github.com/Rdatatable/data.table

Here's my Python code:
https://github.com/ekbrown/scripting_...

Here's my R code:
https://github.com/ekbrown/scripting_...

#pythonprogramming #rlanguage #tidyverse