https://colab.research.google.com/drive/1FqJomu3MAWLz_Dc2y15...
and tried converting it to Wolfram Cloud:
https://www.wolframcloud.com/obj/shreevatsapublic/Published/...
Pros: The Wolfram / Mathematica language, once you learn it, is likely to be consistent and powerful. (Browse some questions on https://mathematica.stackexchange.com/)
Cons: Mostly around familiarity and ubiquity, versus a closed ecosystem. For example, it took me a long time to figure out how to put everything into the Wolfram language (imperative things are awkward to do; had to figure out how `Do` and `Module` work), there are fewer resources for learning it, etc. Can't use standard Markdown, nor TeX syntax for math[1] AFAIK. There may be an alternative way to typeset mathematics; I never got around to it. The UI is unfamiliar to me (harder to see where the cells are, deleting a cell was nontrivial to figure out).
Maybe with time it will become easier, but overall, I expect to continue to use Jupyter / Colab notebooks when they work well enough, and try Wolfram Cloud again when I want something really nontrivial that sympy / Sage / etc can't do cleanly… which is probably unlikely, as the Python ecosystem continues to close the gap.
([1]: Aside: Did you know that MathML came into existence, with impetus from Wolfram, to make it harder to use TeX/LaTeX syntax for math on the web? See https://www.mathmlcentral.com/history.html#:~:text=To%20head... )