Jupyter notebooks all use latest version of Julia, even if marked as previous version

General Usage
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1

I just installed the latest version of Julia (1.8.1). I set it so that is the version that is run when I write “julia” in my terminal (I am on Ubuntu).

However, now when I open my previous (1.7.3) Julia notebooks, they all use version 1.81 (causing crashes). I create a new 1.7.3 notebook, and even if it is marked as 1.7.3, it still runs in version 1.8.1:

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Is this even supposed to be possible? Does anyone know what might be going on?

2

That shouldn’t happen, but your Jupyter looks very different from mine so I’m not sure what’s going on. Here’s what I see in the menu bar at the top:

image

And choosing kernels works as expected.

3

Does your 1.7.3 kernel start the right julia binary?

You should have files for your jupyter kernels, perhaps in /home/user/.local/share/jupyter/kernels/.../kernel.json, that tell jupyter how to start the kernel.

My kernel.json file for my julia kernel contains

{
  "display_name": "Julia 1.7.2",
  "argv": [
    "/home/johan/Julia/julia-1.7.2/bin/julia",
    "-i",
    "--color=yes",
    "/home/johan/.julia/packages/IJulia/AQu2H/src/kernel.jl",
    "{connection_file}"
  ],
  "language": "julia",
  "env": {
    "JULIA_NUM_THREADS": "8"
  },
  "interrupt_mode": "signal"
}

which refers to a julia-executable /home/johan/Julia/julia-1.7.2/bin/julia.

If your kernel.json for the kernel that is named 1.7.3 refers to the correct binary file, then I do now know what might be the reason for your problem.

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4

Thanks a lot! Yes, this might explaion it. My 1.7 kernel.json says:

{
  "display_name": "Julia 1.7.3",
  "argv": [
    "/opt/julia/bin/julia",
    "-i",
    "--color=yes",
    "--project=@.",
    "/home/SLCU/torkel.loman/.julia/packages/IJulia/AQu2H/src/kernel.jl",
    "{connection_file}"
  ],
  "language": "julia",
  "env": {},
  "interrupt_mode": "signal"
}

where /opt/julia/bin/julia is where I put the julia binary on the new installation when I run “julia” in the terminal. Just manually changing this to somewhere where I have a julia 1.7.3 binary should solve it, right?

5

That sounds reasonable to me, but I have never tried that. I install several versions of julia and run IJulias installkernel from my julia-versions to let them install jupyter kernels.

1 Like