[whatyesaid]

Personally I only use SvelteKit which I find is nice by building around what the web technology currently is.

As for static types to be honest I don't see how it's useful in the context of ML. You might use a Pandas dataframe, which already comes with types enforced inside of it. You shouldn't ever use a for loop on a Pandas dataframe or whatever because then you're running Python instead of C++, Pandas has inbuilt functions and operators.

However Python does have type hints but probably not strict enough, Mojo may improve in this if it really supports both AOT and JIT.

Package management in Python isn't that bad with requirements.txt. The real problem is Python versions are breaking and whatnot (very often ML libraries are months behind latest) but the main Python installation you have only supports virtual environments for packages. Really it should support something like conda out of the box where you create an environment with a Python version.

[devjab]

I think the whole environment thing in Python is sort of a thing of the past. I got into Python after containers were the default, but I can see why the environments would’ve been brilliant before that. Today they feel more like a really terrible to work with version of node_modules though. I think Python is one of the languages that does dependencies the absolutely most annoying because of how they sort of tie into that.

But it’s not too terrible, it’s it’s not Node or Cargo, but it is really hard to build governance around.