[Rcpp-devel] advice on sharing C++ code across R and Python

[Simon Barthelmé]

Thanks for your advice, everyone, I'll look into pybind11.

Best

Simon


Le 27/04/2018 à 20:05, Kevin Thornton a écrit :
> Hi all,
>
> pybind11 is the best choice here.  It goes quite a bit beyond what 
> Boost Python did, including nice support for Numpy arrays, the buffer 
> protocol more generally, and an Eigen interface.  I've used it quite a 
> bit.
>
> But the real issue will be separating out the guts of your code from 
> the Rcpp/pybind11-specific stuff, as others have mentioned.
>
> --Kevin
>
> On Fri, Apr 27, 2018 at 5:14 AM Dirk Eddelbuettel <edd at debian.org 
> <mailto:edd at debian.org>> wrote:
>
>
>     Some folks told me that pybind11, ie at
>
>     https://github.com/pybind/pybind11
>
>     is the one to use as Boost Python is stagnant. I have no personal
>     experience
>     with pybind11 though.
>
>     The question is a good.  This (old) CRAN package has been doing
>     both R and
>     Python from a joint C++ basis for years:
>
>     https://cran.r-project.org/package=fastcluster
>
>     but I also never looked in real detail at what it does.
>
>     Dirk
>
>     -- 
>     http://dirk.eddelbuettel.com | @eddelbuettel | edd at debian.org
>     <mailto:edd at debian.org>
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> -- 
>
> Kevin Thornton
>
> Associate Professor
>
> Ecology and Evolutionary Biology
>
> UC Irvine
>
> http://www.molpopgen.org
>
> http://github.com/ThorntonLab
>
> http://github.com/molpopgen
>
>
>
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