I use Python daily, but I still find the way R / Tidyverse handles df manipulations much more user-friendly and efficient. My understanding is that R has a health ecosystem of packages for dealing with spectrometry data. It is not field so I am not speaking from experience.
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Surprised to see it still uses R rather than Python
I'd like it to use Julia much more than either R or Python, tbh.
I'm not. If anything, these days R is evolving much faster than Python in this field.
Any particular reason why you think so? Any particular field where you think R is going ahead of Python?
For Statistical methods, R was always ahead.
I use Python daily, but I still find the way R / Tidyverse handles df manipulations much more user-friendly and efficient. My understanding is that R has a health ecosystem of packages for dealing with spectrometry data. It is not field so I am not speaking from experience.