Install Pluto.jl and jupyter-pluto-proxy

[yuvipanda]

Describe your changes

Pluto.jl is an alternative reactive notebook frontend focused specifically on Julia. I think shipping this by default in the julia-enabled images helps serve the Julia community better, particularly when used with JupyterHub.

For context, I am working with the Julia users of the Jupyter Meets the Earth project, and trying to understand how to best serve their needs on a JupyterHub. We currently maintain a massive image that 'has everything', but I'm trying to instead work upstream wherever possible so everyone working in these subfields can benefit. Meeting Julia users where they are at seems a useful path forward here.

Checklist (especially for first-time contributors)

• I have performed a self-review of my code
• If it is a core feature, I have added thorough tests
• I will try not to use force-push to make the review process easier for reviewers
• I have updated the documentation for significant changes

[yuvipanda]

If this looks acceptable, I'll write a specific test for this too.

[mathbunnyru]

To be honest, I know nothing about Julia or Julia's infrastructure.
So, @yuvipanda, if you know someone from Julia (+Jupyter) community, who can take a look here and approve this change, this would be awesome.
As I understand - do we need to run something special to run Pluto?
If yes, maybe we should probably create a recipe with how to do that.
https://jupyter-docker-stacks.readthedocs.io/en/latest/contributing/recipes.html

[yuvipanda]

@mathbunnyru you don't need anything special to use it. You can see it in the JupyterLab launcher!

So I don't think a specific recipe is needed.

[yuvipanda]

I'm going to add a simple test to make sure this works.

[yuvipanda]

ok, I added a test to make sure this starts! I've also asked some julia users to try comment on this, just as social proof :)

Anything else you'd like me to do, @mathbunnyru?

[mathbunnyru]

Thank you for adding the test.
Let's use the DRY principle and move the test code to a function in tests/julia-tests/pluto_proxy.py folder and in the julia-notebook and datascience-notebook folders add a test which will be calling this function.

[JordiBolibar]

Thanks a lot for all the efforts on building a Julia-specific image for the hub!

I've been heavily using the "massive" image from Jupyter Meets the Earth the last 2.5 years, and I can say that adding Pluto.jl would be fantastic. Having Julia + Pluto.jl + VSCode + Jupyter notebooks with CPUs is pretty much everything we could ask for 🙂

[benz0li]

@JordiBolibar There is also the JupyterLab Julia docker stack and the Data Science Development Containers.
ℹ️ (GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) container images

[mathbunnyru]

Thanks a lot for all the efforts on building a Julia-specific image for the hub!

I've been heavily using the "massive" image from Jupyter Meets the Earth the last 2.5 years, and I can say that adding Pluto.jl would be fantastic. Having Julia + Pluto.jl + VSCode + Jupyter notebooks with CPUs is pretty much everything we could ask for 🙂

Great 👍
It always feels good to make users of our images happy 🙂

[mathbunnyru]

I think I'll just merge this and then remove code duplication in a separate PR.
I want to put all the images to the images folder and this is blocking me a little bit.

[mathbunnyru]

Follow-up PR: #1934

[yuvipanda]

Thank you so much, @mathbunnyru! And thanks for chiming in, @JordiBolibar!