R ecosystem provides amazing reproducible research ecosystem, even for statistical physics.
Qem · 1h ago
I wonder how close R was to also take over the scientific computing/machine learning space, instead of Python's numpy/scipy ecosystem.
3abiton · 1m ago
R is really not for production deployment. It lacks a lot of what made python popular, and its target users were radically different.
teruakohatu · 6m ago
I love and use R, but it never became the dominant ML in part because it has three (or more) different object systems and many libraries sort of use their own style.
This makes it seem a bit disjointed, in a way that other languages don’t.
The R community should have anointed one object system and made tidyverse a core part of R.
All that said, R is fantastic and the depth of libraries is extensive. Libs are often written by the original researchers that develop the method. At some academic institutions an R package is counted as a paper.
larrydag · 10m ago
Very close. In fact you could still say that it still is competing with Python for users. There is still an active community of developers.
This makes it seem a bit disjointed, in a way that other languages don’t.
The R community should have anointed one object system and made tidyverse a core part of R.
All that said, R is fantastic and the depth of libraries is extensive. Libs are often written by the original researchers that develop the method. At some academic institutions an R package is counted as a paper.