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| ▲ | ants_everywhere 3 days ago | parent | next [-] |
| R and numpy can both be used as wrappers for blas and lapack but R is closer to a proper array language and is nicer to use. So basically any data operations that don't require python libraries, and especially any statistical programming |
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| ▲ | data-ottawa 3 days ago | parent | prev | next [-] |
| The section in the r studio documentation called Computing On The Language is by far favourite feature of R It lets a function observe the context in which the function was called, which is why R can contextually use formula notations so ergonomically. That also backs pseudo symbolic computing, like plotting a function over a domain and magically getting the right chart titles. That language support is why Python libraries struggle so much to replicate the ergonomics of the tidyverse. https://rstudio.github.io/r-manuals/r-lang/Computing-on-the-... |
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| ▲ | stared a day ago | parent | prev | next [-] |
| ggplot2 - in my opinion, there is nothing close to it At the same time, I often do everything else in Python and just do charts in R. |
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| ▲ | dismalaf 2 days ago | parent | prev [-] |
| Everything related to stats or dealing with data. For one, R is actually an array language. |
