[nihils]

I don't think there is significant overlap between Python's ideal use cases and Haskells. For one, Haskell's advanced static type system lends itself nicely to formal verification and the handling of domain specific languages. Both domains are important in safety-critical software. It also has much better ways of dealing with concurrency (STM and linear types). On the other hand, Python's ecosystem seems to be centred around backend web development, data science, and machine learning.

[elihu]

They're both general-purpose high level languages suitable for application programming. The difference isn't so much in the sort of software you can write, but rather what you want your development/testing/debugging experience to be like.

I've never used Python, but I like Haskell for the kinds of problems where I'm trying to do something complicated and a little confusing, and I want the compiler to let me know if I've asked it to do something that doesn't make sense. That sort of thing can save a lot of time in the long run, and I usually feel good that the resulting software is reasonably robust. I expect a good Python programmer could write an equivalent program, it's just not the way I like to work.

Libraries are of course often a deciding factor, and so are performance requirements.

[barrkel]

Most programming problems have multiple viable implementation approaches, and implementation language is not usually the gating factor on success.

It takes some esoteric innovative features to make a difference, but that will also cut both ways; it'll make it harder to hire for and scale, too.