Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

> which includes the unjustly neglected data.table

So so true.

I was working on an adhoc project that needed a quick result by the end of the day. I had to pull this series of parquet files and do some quick and dirty analysis. My first reflex was to use python with pandas, quick and easy. Python could not handle the datasets, too large. I decided to give R and data.table a go and it went smoothly. I am usually a python user but from time to time I feel compelled to jump back to R and data.table. Phenomenal tool.



Indeed.

Python is great for getting things into a data.frame. But once in a data.frame, R is so much easier to work with for all things stats and ml-related.




Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: