PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
I'm amazed how similar the code example on the landing page looks to dplyr, which is great in my book. dplyr borrowed heavily from SQL (even if you're not an R user, some of Hadley's design papers are definitely worth reading), but it's never going to be fast because it runs on R* and copies large chunks of data around, rather than optimizing.
Data table backend for dplyr
Isn't there https://github.com/tidyverse/dtplyr with dplyr syntax but a data.table backend = best of both worlds?
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R process taking over 2 hours to run suddenly
1 project | reddit.com/r/Rlanguage | 14 Aug 2022
DS student here: why use R over Python?
2 projects | reddit.com/r/datascience | 13 Jul 2022
The data.table cheat sheet helps you master the syntax of this R package, and helps you to do data manipulations.
1 project | reddit.com/r/rprogramming | 17 Jun 2022
dplyr vs data.table
1 project | reddit.com/r/Rlanguage | 10 Apr 2022
Anybody use data.tables? Are they really faster than data.frames?
1 project | reddit.com/r/Rlanguage | 7 Apr 2022