I am a beginner data scientist, and mainly use python and seldom use R. I hear this very often from fellow data scientists.
"R is not as good as Python because it is harder to productionize"
I do not understand why this is so, I got responses that (1) you can't use multi-threading and multi-processing with R and (2) it's harder to install libraries on multiple nodes in a cluster with R. However, I see ways to do parallel multi-threading and multi-processing using libraries like "parallel", "multidplyr". Machine learning libraries like "caret" seem to also support multi-core.
Just wanted to ping the R community if it's really difficult to productionize in R and why.