On 11/14/2013 03:13 PM, Neil Cerutti wrote:
On 2013-11-14, Peter Chant <p...@petezilla.co.uk> wrote:
Or is it that - if I keep the code as simple as possible, PyPy
is about as fast as you can get?
PyPy profiles your code as it runs and creates, using a
just-in-time compiler, highly optimized versions of frequently
run sections. You don't have to declare types or even think about
it; The scheme will work best with code that runs for a
significant amount of time.
That is the situation I'm in. If it only ran for a second or two
there'd be no point in worrying about speed. PyPy gave a massive speed
up. I was wonding if I could do a little more.
cython allows you to declare types, and attempts to create more
efficient code *at compile time* using those type declaration.
Which approach will be better depends on how the code runs and
how clever you are at using cython.
If it is marginal then I don't think the effort would be worth while.
I do wonder whether writing some specific functions in C using cffi
would benefit. It is something I have no experience of.
PyPy isn't designed to speed up programs that run for a few
hundred milliseconds and then complete, though it might sometimes
work for that.
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