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by irahul 4968 days ago
> Except you dont need a JVM to get performances in python.

Python's performance is only slightly ahead of Ruby's. Both Python and Ruby are a bad match for CPU intensive tasks(provided we are talking pure python/ruby and not native extensions). Network and IO in general is salvaged by using evented io(or some high level evented framework).
2 comments
mercurial 4968 days ago
Exactly. You have the same sort of solutions for squeezing additional performance out of Python and Ruby: - using evented framework (network/IO bottleneck) - using native code (CPU bottleneck) - using a different implementation (Python has an edge here with PyPy, as long as your dependencies run on it)
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blacksmythe 4967 days ago
Because numerical processing is a major use case, Python has a number of techniques to easily speed up critical sections of code (numpy, cython, pypy).

I am not aware of comparable features in Ruby.

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mercurial 4967 days ago
Numpy is a dedicated library where the critical code is in C, but that's a library, hardly a language feature. I don't know if there is any numerical processing library in Ruby.

Cython is not intrinsic to Python either. I see there is a ruby2c gem, but I have no idea how it compares to Cython.

As for pypy, that's about switching to a different runtime, the same way Ruby people would go to JRuby.

None of this turns Ruby into apples and Python into oranges, I'm afraid.

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