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The R code I run daily has at least 10 stats libraries that don't exist in Python, an important new one dropped a few days ago. And as someone who uses both la
by YWall39 2y ago
The R code I run daily has at least 10 stats libraries that don't exist in Python, an important new one dropped a few days ago.
And as someone who uses both languages daily, Python is much better at some things, R in others. R is much better in coding stats analysis.
Competition is great, may both thrive.
- kuhewa 2y agoAnd I don't think younger statisticians, those that will have 30+ years in the career tank, are now favouring Python over R (a few, Julia perhaps). So I don't imagine new stats functionality dropping in R first is going to change any time even close to soon.
- YWall39 2y agoyes, what I see. R is so dominant in stats, and the momentum against it around me is more towards Julia not Python.
- williamcotton 2y agoI’m curious and new to R. What are those R libraries you’re referring to?
- YWall39 2y agomost are specialised in my field. for the more general, I cannot work without dynlm and plm. Just last week I needed to compare the empirical distribution of something to a known reference, with either the empirical or QQ, and searched Python, Julia and R. The R libraries were by far the best. More subjectively, I like data.table better than any alternative in any language for the type of work I do.
- bonadrag 2y agoThere is nothing like data.table in Julia, Python or JavaScript (if you want to stick to high level programming languages). It's the best combo you can get for speed + syntax.