I'm interested in hooking up julia to jupyter. I understand that in julia, Pkg.add("IJulia") would work - I've tried it, runs as expected.
However, that yields a new conda installation of jupyter, python etc. and blows up to > 2 GB (in addition to the 5xx MB of Julia itself). I already have a working jupyter installation with python and octave kernels up and running and was not looking to duplicate as much functionality.
How can I get a simplistic julia kernel connected to my jupyter?
If that is too silly a question, why is it much better the way it works out of the box? (Supplying me with search keywords is as appreciated as a more thorough answer) [My guess is that building anew is trouble-free because it is a well-defined environment. I do however already have all that python and llvm and so on..]
Thanks & Best, Vincent