On 18 October 2017 at 06:25, Guido van Rossum <[email protected]> wrote:
> It takes courage to admit failures like this! I think this is a good call. > It echoes the experiences with Unladen Swallow and Pyston. > And Armin Rigo's experience with psyco before that. Despite what people may think, CPython really isn't slow, given the large > set of constraints on the implementation. > Antonio Cuni had a good PyPy presentation at EuroPython indirectly talking about the fact that when folks say "Python is slow", what they often mean is "Many of Python's conceptual abstractions come at a high runtime cost in the reference implementation": https://speakerdeck.com/antocuni/the-joy-of-pypy-jit-abstractions-for-free That means the general language level performance pay-offs for alternative implementations come from working out how to make the abstraction layers cheaper, as experience shows that opt-in ahead-of-time techniques like Cython, vectorisation, and binary extension modules can do a much better job of dealing with the clearly identifiable low level performance bottlenecks (Readers that aren't familiar with the concept may be interested in [1] as a good recent example of the effectiveness of the latter approach). Cheers, Nick. [1] https://blog.sentry.io/2016/10/19/fixing-python-performance-with-rust.html -- Nick Coghlan | [email protected] | Brisbane, Australia
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