Eh, it's most definitely part of it, but the biggest time sink that I expect when working with Python is fixing the build system every two weeks on different devs' PCs. I do imagine, if you eventually find a solution that works on most PCs that this workload will go down, but we had a substantial Python part in my previous project and over the course of the 1½ years that we worked on it, it really felt like we were making negative progress. Near the end of it, I couldn't use PyCharm anymore, because I couldn't figure out for the life of me, how to make it recognize the dependencies again.

Nah it's also a language matter. People complain about Rusts complexity, meanwhile I complain about everything else in other languages, and am faster than in any other language, not necessarily because writing code is faster, but because I am able to just focus on writing code. I cannot tell that about other languages, because e.g. the packaging system is bad, or configuring an environment, or debugging stuff which a strong type-system would have caught already. Also IDE experience I think is the one thing that keeps me away from dynamic languages. Rust analyzer is so much better than anything else I've tried, and it keeps getting better (e.g. recently it was added to show whether a trait is object safe or not, and why it is not).

Another thing that is often missed when comparing static with dynamic languages is just performance, python heavily relies on stuff written in a system language, as soon as a hot-loop is written in python, things get bad...