I just used #JupyterLab for the first time in a while. It was always quick and easy to get an analysis going, and it still is. Woohoo!
I have a nice #Python REPL setup in #Neovim, but my datasets contain a lot of columns, and they're not all visible in iPython, and for once I just want things to look right without having to mess with configs. I'm on a deadline here. :)
I wanted to follow along the juliaacademy course "Julia for Data Science", but the first tutorial shows how to activate an environment (?) but in the end I have no idea how to reliably work in an already installed JupyterLab, Julia and packages version compatible, and all in a specific environment for this project.
I've been installing and uninstalling Julia 1.6, 1.9 and 1.10, deleting them from PATH, etc.
With Python is not straightforward, but I got it.
I decided I will use #Plutojl and manually recreate all the courses notebooks. For the sake of learning, it's definitely better than just running readymade cells, plus it's in line with the MIT Julia course.
But it doesn't feel right, I feel there's a huge gap in my understanding, and likely a gap in the tutorials too.
Also, spending 2 days without proper coding, just running around bugs, is super frustrating, just feels like time lost forever to no cause.
Can somebody familiar with #JupyterLab or #JupyterNotebook please tell me why the top cell in this notebook doesn't render the HTML, when the other two cells do? Everything I'm reading online suggests it should render it. https://gist.github.com/mattcen/c5db6e729dfe9e949596ffb87207cb1b
In the "Rich representation" section of this notebook (https://jupyterlite.github.io/demo/lab?path=.%2Fpython.ipynb) it does something similar and Just Works (obviously that's #Pyodide rather than CPython, but I don't think that should matter).
I am guessing maybe there's a library I haven't installed; for this example I just created a new virtual environment and installed jupyterlab and nothing else. #Jupyter#IPython