[Rcpp-devel] advice on sharing C++ code across R and Python
Thanks for your advice, everyone, I'll look into pybind11. Best Simon Le 27/04/2018 ? 20:05, Kevin Thornton a ?crit?:
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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