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Comment by prakhar987 | Hacker News Reader

I would be really hesitant to comapre Jupyter Notebook to an IDE.....an example is a debugger...the only visual debugger that i have come across for jupyter is pixie debugger, which is miles behind the debugger of an IDE like Pycharm.... there is a huge list of features that jupyter needs before you can compare it to an IDE

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It is an interactive environment (not much use for a debugger).

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.

You still write functions and may want to inspect variable state in the middle of function execution.

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.

There is a JupyterLab extension for that: https://github.com/lckr/jupyterlab-variableInspector

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.

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