covalent VS jupyterlab-desktop

Pretty interesting request, if SSH is not used, i would try using something like dask which uses tcp to connect and execute assuming your workers are in another machine.I also think something like covalent can be used to extend your own custom plugin in their ecosystem to connect how you want. We have a very custom private plugin written on top of covalent's to have a custom protocol to connect our central on-prem GPU machines to our local laptops that is rpc based, mostly for high performance as well as some mandate security from where the GPU machines are. Once done it is pretty much something like

Does anyone here have any suggestions of alternatives tailored for Slurm on HPC? I know Covalent is one option, but I'm curious about others as well. Ideally the platform should be Pythonic, have a GUI, and be reasonably active/well-maintained.

Came across this new tool exactly for this - https://github.com/AgnostiqHQ/covalent

An alternative in the Python world that is definitely worth looking into is the JupyterLab Desktop app, which is a standalone installer that is cross-platform and works great for beginners (no command line needed): https://github.com/jupyterlab/jupyterlab-desktop?tab=readme-...

See my other comment in the main thread with more info.

JupyterLab Desktop supports remote server connections out of the box (you just install one locally and a plain JupyterLab on the server using pip).

How JupyterLab Desktop works

Although jupyter notebooks work fine in VSCode you could also try jupyter desktop: https://github.com/jupyterlab/jupyterlab-desktop

You might be interested in https://jupyterlite.readthedocs.io/en/latest/ and https://github.com/jupyterlab/jupyterlab-desktop too

Learning syntax of a new language is trivial, but also not very useful if you haven't learned programming in general. Learning programming is a lifelong process, you are never done with it. It's just a different way of thinking and problemsolving and there will always be problems that are just beyond you, its kind of like math or physics this way. But problems aren't unsolvable for you because you lack language, but because the problem is simply harder than what you can wrap your head around, or larger in scope than what you with limited time can pull off. But, knowing a little bit of programming and little bit of python can be a powerful thing in many jobs. Depends on which problems you need to solve of course. Get JupyterLab for desktop to play around with, it's probably worth your time. https://github.com/jupyterlab/jupyterlab-desktop

I am on the MacOS, and I would like to access the jlab executable like this webpage describes: