From a user's point of view it doesn't matter if it is python or cython. Slow things get implemented carefully and are packed away in a 3rd party libraries.
If the performance comes down to BLAS, then language speed benchmarks are moot. Saying one language is faster than another becomes disingenuous.
> If the performance comes down to BLAS, then language speed benchmarks are moot. Saying one language is faster than another becomes disingenuous.
Fully agreed. That's why comparing NumPy calling BLAS to Julia calling BLAS is a silly exercise. Comparing NumPy calling BLAS to a summation loop written in pure Julia goes beyond silly to just unreasonable, but that's what the blog post does.
Comments
From a user's point of view it doesn't matter if it is python or cython. Slow things get implemented carefully and are packed away in a 3rd party libraries.
If the performance comes down to BLAS, then language speed benchmarks are moot. Saying one language is faster than another becomes disingenuous.
> If the performance comes down to BLAS, then language speed benchmarks are moot. Saying one language is faster than another becomes disingenuous.
Fully agreed. That's why comparing NumPy calling BLAS to Julia calling BLAS is a silly exercise. Comparing NumPy calling BLAS to a summation loop written in pure Julia goes beyond silly to just unreasonable, but that's what the blog post does.