Not really sure about that. Markdown links between notebooks, sure, between cells and anchors, sure, from notebook to another notebooks cell, don't really know. I can find some discussions but never tried that myself.
I don't know the upper limits, but of course the CSV preview is very limited, and also opening huge gigabyte-or-more-csv files might not be a good usecase for editor anyway. Programmatically frameworks like Pandas can handle them better.
It sure is! Not something I have experience on, nor videos, but looks like fun as well. Here's a good writeup of how they work together. julia.quantecon.org/getting_started_julia/getting_started.html#running-jupyterlab
Is it possible to get code completion in jupyterlab? I am using the desktop version and could not get it to work, and pressing tab all the time is really annoying
Hi, sadly no, I am always looking for that too. With basic Jupyter you need to keep on pressing tab to get suggestions. However, there are ways around that: - I often use VSCode for the notebooks, as an alternative, because I get the power of all plugins online, for example AI assisted autocompletions - You can use Jupyter extensions, for example Hinterland nbextension Word of warning, setting up extensions may or may not work for you, and may make the environment more volatile too. This is not a worry if you are able to setup multiple different virtual environments, then it's easy to experiment with them. But worth warning, some people have had great success, others not so much. But if you go down that path, here's an article that lists more cool extensions to experiment with: towardsdatascience.com/12-jupyter-notebook-extensions-that-will-make-your-life-easier-e0aae0bd181 I was about to make a video on that topic but they already explained those pretty well :)
In Jupyterlab? No hover as far as I know, you have to press Shift+Tab like I do. But with IDE plugins, for example VSCode Jupyter plugin, it works on hover too.
Well, I use both. VSCode is awesome for dealing with multiple languages and config files, very flexible. Jupyter is great when dealing with mostly Python and data files, soecialized in those. I've got Jupyter plugin in VSCode too, so I use both, depending on what I'm working on.
