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Has anyone had a problem running julia from a jupyter notebook?

I have looked at how-to pages like this one and this one, which all pretty much recommend the same series of steps:

  1. Open the terminal, launch Julia, and Pkg.add("IJulia").

I follow this step and got the following output

Resolving package versions... Updating `~/.julia/environments/v1.7/Project.toml` [7073ff75] + IJulia v1.23.3 Updating `~/.julia/environments/v1.7/Manifest.toml` [7073ff75] + IJulia v1.23.3 [b85f4697] + SoftGlobalScope v1.1.0 [c2297ded] + ZMQ v1.2.1 [8f1865be] + ZeroMQ_jll v4.3.4+0 [a9144af2] + libsodium_jll v1.0.20+0
  1. Launch a Jupyter session and choose a Julia kernel.

I'm able to launch a Jupyter session. However, when I click new, all my option are Python kernels. I don't see anywhere to launch a Julia kernel.

Has anyone run into a similar problem??

I am running macOS Monterey, version 12.4, Apple M1 Max Chip.

My julia is 1.7.2

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4 Answers 4

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Try a different step 2:

julia> using IJulia julia> notebook()

This should open Jupyter in a new browser/tab window. Do you see the Julia kernel in this window? (In which case you might just have different Jupyter versions installed on your system).

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you're probably using a jupyter notebook that didn't come with IJulia, thus, you will have to install a kernel spec (a JSON file) so the jupyter knows where to find Julia kernel.

Try following: https://julialang.github.io/IJulia.jl/stable/manual/installation/#Installing-IJulia

More specifically,

You can force it to use a specific jupyter installation by setting ENV["JUPYTER"] to the path of the jupyter program before running Pkg.build("IJulia")

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That's probably because the Jupyter notebook you have installed doesn't have IJulia installed. You will have to load IJulia to access Jupyter with a Julia kernel to fix that.

julia> using IJulia julia> notebook()
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I had the same problem which was the result of having an older version of Jupyter. I solved it by uninstalling and reinstalling the latest jupyter, then added the R and Julia kernels from thw official R, through R Studio, and Julia sites respectively where each kernel installation did not take more than 2 minutes and all work well.

Good luck EK

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