You say he's narrow-minded, but you focus on the least relevant thing of everything he said, speed, and suggest that, somehow, something with "fast" in its name will fix it?
Speed is the least concern because things like numpy are written in C and the overhead you pay for is in the glue code and ffi. The lack of a standard distribution system is a big one. Dynamic typing works well for small programs and teams but does not scale when either dimension is increased.
But pure Python is inherently slow because of language design. It also cannot be compiled efficiently unless you introduce constraints into the language, at which point you're tackling a subset thereof. No library can fix this.
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You say he's narrow-minded, but you focus on the least relevant thing of everything he said, speed, and suggest that, somehow, something with "fast" in its name will fix it?
Speed is the least concern because things like numpy are written in C and the overhead you pay for is in the glue code and ffi. The lack of a standard distribution system is a big one. Dynamic typing works well for small programs and teams but does not scale when either dimension is increased.
But pure Python is inherently slow because of language design. It also cannot be compiled efficiently unless you introduce constraints into the language, at which point you're tackling a subset thereof. No library can fix this.