FWIW I use the %debug magic command in Jupyter and it has been a great experience. I'm pretty ignorant of the enterprise debugging tools so take that with a grain of salt.
Debuggers are only really useful if you're trying to figure out why some object in your server doesn't do what you want it to.
I'd wager that almost no data scientists write object oriented code.. it's probably mostly done one calculation at a time. executed in the notebooks repl. So the value you get from ide debuggers is tiny, as you're already doing everything one step at a time.
Correct. RStudio has this feature, where variable values can be inspected in a sidebar. This would be a really useful feature for Jupyter, especially when running a Python kernel.
Does it work with variables that are local to a function? I don't mean inspecting global variables after having executed a cell, but local variables in the middle of a function execution.
I'd wager that almost no data scientists write object oriented code.. it's probably mostly done one calculation at a time. executed in the notebooks repl. So the value you get from ide debuggers is tiny, as you're already doing everything one step at a time.