Feels appropriate to say that Hylang is in version 1.0 alpha:

https://github.com/hylang/hy/releases/tag/1.0a4

That's Lisp over Python -- you can do data science properly in Lisp now using all you favourite Python packages.

I repeat you can do data science properly in Lisp now.

Maybe things have changed over the years. I've played around with Hy in 2017 and in the end felt like it combines the bad parts of Python with the bad parts of a Lisp.

If you're forced to use Python it's usually because of one of 2 reasons: Either you need to work with colleagues on something (in which case almost certainly they wouldn't accept a lispified version of it) or because you need some of the libraries that are already implemented.

In the latter case, you might say Hy is a good option. But why bind yourself to the slowness of Python when you could just as well use some fast Lisp (e.g. Common Lisp) that interacts with a Python interpreter similar to nimpy [0] from Nim? Not sure if such a thing already exists for CL, but it should be quite feasible to write and then you get access to all your Python library needs while actually using a better language for the rest of your code.

But I'm all ears on the real advantages Hy provides aside from being neat.

[0]: https://github.com/yglukhov/nimpy