> So, invoking numpy as a testament to power of dynamic languages misses a pretty important point. I don't think so. People build Numpy in a different language

> So, invoking numpy as a testament to power of dynamic languages misses a pretty important point. I don't think so. People build Numpy in a different language to the one they expose it in because those languages have different strengths. If Numpy's source languages (including BLAS and LAPACK) were suitable for front-end usage, Python would have never entered the equation. I think it's more a testament that despite the base libraries being so freely accessible, only dynamic languages have actually built front-ends that people want to use. Even Julia is dynamic.