Feature request: Julia kernel to jupyter

[guidov]

Hi,

I would be great if we had an docker image with access to a Julia kernel on ERDA, using IJulia.

https://juliapackages.com/p/ijulia

Thanks

[rasmunk]

Hi @guidov,

Thank you for this feature request, Julia would certainly be a good candidate for a Notebook:))
I will look into when there is time for it!

Regards
Rasmus

[SebastianPrehn]

Hi @guidov,

I am currently developing a notebook using Julia for ERDA (#61), and if still relevant to you, I was curious what sort of packages you would use in Julia so that I could test them and add them.

[guidov]

Hi Sebastian, yes great , I saw you had been working on this. I'll have to get back to you later today. But some of the differential equation packages are useful , plus I want to use speedweather.jl in a class in block4. Guido

…

On Wed, Dec 20, 2023, 9:38 AM Sebastian Prehn ***@***.***> wrote: Hi @guidov <https://github.com/guidov>, I am currently developing a notebook using Julia for ERDA (#61 <#61>), and if still relevant to you, I was curious what sort of packages you would use in Julia so that I could test them and add them. — Reply to this email directly, view it on GitHub <#48 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAWYQMCXODXORZAE5DMYGTLYKKP2DAVCNFSM6AAAAAAQQZTK6KVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQNRUGA3TAMRZGI> . You are receiving this because you were mentioned.Message ID: ***@***.***>

[guidov]

Hi ,
I don't know how many people will use this kernel, but I could see using:
https://docs.sciml.ai/DiffEqDocs/stable/
https://github.com/SpeedyWeather/SpeedyWeather.jl

Also I'm sure students and others might use in the future the ML ecosystem that is available:
https://docs.sciml.ai/Overview/stable/overview/#overview

and the top packages from here:
https://juliapackages.com/c/machine-learning

But don't worry too much about putting in a lot if it is too much work. Better not to waste too much time on this.
Thanks

[SebastianPrehn]

As of 70a4355, Julia 1.10.0 is in Jupyter Notebook on DAG with most of the packages you've mentioned 🎉 I'm also in the process of adding an additional notebook aimed at Julia, with more attention paid to the machine learning packages #62