native python is indeed quite slow relative to anything compiled, especially when you want to use pure python for hot loops. it's really the saving grace of cython (or alternatives) that makes python tractible for a lot of scientific computing.
I'll agree that mathematica was really slow (but very expressive) when I played with it last. I think this comes down to it's lispy heritage.
julia is an example of a lang that is fast, but even it can be slow because of GC depending on the workload.
I'll agree that mathematica was really slow (but very expressive) when I played with it last. I think this comes down to it's lispy heritage.
julia is an example of a lang that is fast, but even it can be slow because of GC depending on the workload.