[crabbone]

Surprisingly, I've met non-programmers who easily learned languages considered "strange" or difficult to understand by professional programmers (Forth is even somewhat popular among astronomers, but I've also met people using Prolog for their programming needs, even J).

I've worked quite a bit with scientists who mostly use Python for their programming-related tasks. To me, it seems that the reason to work with Python has very little to do with the qualities of the language, rather the tools and the community around it. There's nothing specially intuitive or helpful about Python when it comes to doing scientific stuff, not anymore than, say, in PHP or Lua etc. languages from the same general category (which we don't see used in the same setting). It's the libraries / tools like NumPy and Jupyter that make the difference.

From just looking at EYG, I can't tell if it's a good match for the problem or not. But, really, the language design doesn't seem to play an important role in this context. If it somehow manages to win popularity among the people it's trying to engage -- great! But, unless one has an army of "evangelists" and the marketing budget rivaling GDPs of smaller countries, the success seem to be completely random and unpredictable (with quite low success rate).