I'm not entirely sure that's the case. I agree, Javascript is very popular as a first language and an introduction to the world of programming, especially with

I'm not entirely sure that's the case. I agree, Javascript is very popular as a first language and an introduction to the world of programming, especially with all of the frontend bootcamp-type courses. But in most of these courses embed a lot of healthy "best practices". Sure, there's often a sense of cargo cult appeal rather than a full explanation, but, for example, most new developers seem to at least have a basic knowledge of git and version control (even if it's often treated as a set of mystical incantations that must be performed before programming). The tooling also helps a lot here, for example by installing dependencies locally and saving a lock file to prevent automagical updates. Meanwhile, a lot of people who write Python are not necessarily developers, they are scientists or data analysis who just want to turn their data into conclusions. So things like version control are kept largely to one side as unnecessary complexity, and dependency management is often global, ad-hoc, and prone to breaking. Even things like Jupyter - which by itself can be a great tool - tend to push less experienced developers towards spaghetti code and difficult to reproduce results. In fairness, I think it's difficult to compare these situations and make hard conclusions about which one is better. Ultimately, in both ecosystems, there are some fantastic developers producing excellent tools, frameworks, and libraries. The problem, to the extent that it exists, lies in the low barrier to entry, and the accessibility of these languages, and that's something that's hard to complain too hard about!