[Numpy-discussion] Proposed Roadmap Overview

Charles R Harris charlesr.harris@gmail....
Mon Feb 20 11:14:31 CST 2012


On Mon, Feb 20, 2012 at 9:55 AM, Sturla Molden <sturla@molden.no> wrote:

> Den 20.02.2012 17:42, skrev Sturla Molden:
> > There are still other options than C or C++ that are worth considering.
> > One would be to write NumPy in Python. E.g. we could use LLVM as a
> > JIT-compiler and produce the performance critical code we need on the
> fly.
> >
> >
>
> LLVM and its C/C++ frontend Clang are BSD licenced. It compiles faster
> than GCC and often produces better machine code. They can therefore be
> used inside an array library. It would give a faster NumPy, and we could
> keep most of it in Python.
>
>
Would that work for Ruby also? One of the advantages of C++ is that the
code doesn't need to be refactored to start with, just modified step by
step going into the future. I think PyPy is close to what you are talking
about.

Chuck
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