I'd say AoC is more about problem solving and less about Python. The puzzles tend to be pretty good and I usually learn something from them. You could have a look at the previous edition to see if AoC is something you'd enjoy [0]. What I found informative was looking up other people's solutions on reddit and GitHub.
There is also Rosalind for more data oriented challenges [1].
I just started rosalind after someone posted it on here last week. They're definitely focused on bioinformatics similar to euler being more math focused.
I haven't gotten too far, but the initial problems don't seem too hard in higher level languages. They are very good problems to get better at IO, string manipulation, and data wrangling in your language of choice though.
> I just started rosalind after someone posted it on here last week.
Same.
> I haven't gotten too far, but the initial problems don't seem too hard in higher level languages.
True. But the info boxes in the top are interesting and informative, those make it worth it to keep going.
> They are very good problems to get better at IO, string manipulation, and data wrangling in your language of choice though.
For me, it's also a way to peek into BioJulia and get some familiarity with it. (I don't mind "cheating" this way since this was my primary goal with the site anyway.) So far I'm pretty impressed by how fast it is!
There is also Rosalind for more data oriented challenges [1].
0. https://adventofcode.com/2020
1. http://rosalind.info/problems/locations/