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No. The language in which the interpreter is written is not the point here. The point is the interpretation overhead of the best (or "only" if we're being pedan
by stefantalpalaru 13y ago
No. The language in which the interpreter is written is not the point here. The point is the interpretation overhead of the best (or "only" if we're being pedantic since Python is de facto whatever CPython does) interpreter.
That overhead is the price you pay for using Python so it's what matters when you compare languages for CPU bound projects.
- maxerickson 13y agoIt's a little strange to insist that CPython is the only Python interpreter and then reject all the C libraries that you can access for performance (because those C libraries are the big loss when shifting from CPython 2.7 to Pypy). I think interpreter overhead and language ecosystem performance are probably best looked at as separate questions.