The biggest thing is probably it’s lack of good debugging tools. Their tracebacks are not very informative. Their handling of arrays is significantly inferior to NumPy. For example, R has a tendency to have separate functions for applying functions along different dimensions of an array whereas numpy almost universally has uses an argument to specify along what axis to apply a function.
Also doing much of anything non-statistics is a royal pain.
The biggest thing is probably it’s lack of good debugging tools. Their tracebacks are not very informative. Their handling of arrays is significantly inferior to NumPy. For example, R has a tendency to have separate functions for applying functions along different dimensions of an array whereas numpy almost universally has uses an argument to specify along what axis to apply a function. Also doing much of anything non-statistics is a royal pain.