Update Conda JupyterLab kernel with Julia 1.4.2

I’ve been building Conda JupyterLab notebooks with a Julia 1.4.1 kernel. I’ve downloaded 1.4.2, but JupyterLab doesn’t see it. Does anyone know how to fix this? Thanks.

Hi Robert. Running Pkg.build IJulia should install an updated kernel.

Eric, thanks for answering, but that didn’t work (I think). I installed 1.4.2 from the Julia website, then ran the Julia REPL from Atom, went into package mode, and typed “build IJulia”, and it dutifully built 1.4.1.

So, no luck. Maybe I have to move 1.4.2 to where Conda can find it? Any ideas?

Thanks again.

Sorry Robert, I’m out of ideas. I don’t use Atom, so I don’t know if that has something to do with it. I had a similar issue to yours, but using JupyterLab. I rebuilt IJulia and it seemed to do the trick. Maybe I’m wrong.

Hopefully someone else will chime in.

Hi, Eric. I think my problems stem from using JuliaPro, which I didn’t mention. If I install JuliaPro 1.4.2, Conda and JupyterLab picked up Julia 1.4.2, and they seem to work, though I did have to reinstall packages, like Plots, and now I have two versions of JuliaPro on my machine.

Maybe someone more experienced than me can tell me how to manage Julia, JuliaPro, Conda, and Jupyter on a single (Windows) machine.

Thanks for your interest and help.