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 <e...@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 | e...@debian.org > _______________________________________________ > Rcpp-devel mailing list > Rcpp-devel@lists.r-forge.r-project.org > https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/rcpp-devel > -- 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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