Hi folks, Cross-posting from the numpy ML; I can't get my account past the moderator to get my email out to the list. Also accidentally sent one out to the scipy-user list.. I've been a longtime subscriber to scipy-dev though - so I hope this one gets through in a timely manner. I was trying to figure out how to make a dtype for a c-struct on the c-side and storing that in some boost python libraries I'm making. Imagine the following c-struct, greatly simplified of course from the real ones I need to expose: struct datum{ double position[3]; float velocity[3]; int32_t d0; uint64_t time_of_receipt; }; How would you make the dtype/PyArray_Descr for this? I have as a point of reference compound types in HDF for similar struct descriptions (h5py makes these nearly 1:1 and converts back and forth to dtypes and hdf5 types, it uses Cython to accomplish this) - but I don't want to bring in hdf for this task - I'm not sure how well the offsets would go over in that translation to h5py too. Proper/best solutions would make use of offsetof as we insert entries to the dtype/PyArray_Descr. The language I'm working in is C++11. The end goal is probably going to be to create a helper infrastructure to allow this to be made automatically-ish provided implementation of a [static] visitor pattern in C++. The idea is to make numpy compatible c++ POD types rather than use Boost.Python wrapped proxies for every object which will cut down on some complicated and time consuming code (both of computer and developer) when ndarrays are what's called for. Thanks for any advisement! -Jason