Re: Dpp on run.dlang.io
On Monday, 6 August 2018 at 13:43:46 UTC, Laeeth Isharc wrote: And Octave (via the .mex interface) - this one's important because it opens the door to using D as an extension language to Matlab If an Octave extension written in D works, do you have anywhere to point me to on what's needed to make it work with Matlab? (Is it usually drop-in compatible?) Unfortunately I don't use Matlab and don't have a license to try out. However, as I understand Octave's mex interface, the original goal was to allow Matlab extensions to be compiled and run in Octave. Otherwise you could have a core language that ran Matlab code but extensions would still lock you in to Matlab. Thus, I'm assuming that the ability to use Octave's mex interface implies ability to use Matlab's.
Re: Symmetry Autumn of Code
On Saturday, 14 July 2018 at 06:02:37 UTC, Mike Parker wrote: Thanks to the sponsorship of Symmetry Investments, the D Language Foundation is happy to announce the Symmetry Autumn of Code! We're looking for three university students to hack on D this autumn, from September - January. We're also in search of potential mentors and ideas for student projects. Head to the Symmetry Autumn of Code page for the details. Spread the word! https://dlang.org/blog/symmetry-autumn-of-code/ Example of idea for student: A deep learning framework using together a LLVM SPIR-V enable and https://github.com/libmir/dcompute would be awesome
Re: Dpp on run.dlang.io
On Monday, 6 August 2018 at 13:32:23 UTC, bachmeier wrote: On Sunday, 5 August 2018 at 22:43:42 UTC, Laeeth Isharc wrote: One benefit of D is as a better glue language that integrates well with other languages and ecosystems. Many people who know a bit about D have no idea that interop can work so easily or well. So it might be worth mentioning this benefit as one link from main page and then linking from that to new page that mentions and has runnable examples (using HAR) for: Python (via autowrap:python and pyd) C (via dpp) C++ (extern(C++) for now) R (via embedr) Julia (via C interface, including julia.h via dpp) Lua (if LuaD stable enough) And Octave (via the .mex interface) - this one's important because it opens the door to using D as an extension language to Matlab If an Octave extension written in D works, do you have anywhere to point me to on what's needed to make it work with Matlab? (Is it usually drop-in compatible?)
Re: Dpp on run.dlang.io
On Sunday, 5 August 2018 at 22:43:42 UTC, Laeeth Isharc wrote: One benefit of D is as a better glue language that integrates well with other languages and ecosystems. Many people who know a bit about D have no idea that interop can work so easily or well. So it might be worth mentioning this benefit as one link from main page and then linking from that to new page that mentions and has runnable examples (using HAR) for: Python (via autowrap:python and pyd) C (via dpp) C++ (extern(C++) for now) R (via embedr) Julia (via C interface, including julia.h via dpp) Lua (if LuaD stable enough) And Octave (via the .mex interface) - this one's important because it opens the door to using D as an extension language to Matlab
Re: Dpp on run.dlang.io
On Monday, 6 August 2018 at 02:17:28 UTC, Mike Franklin wrote: The C standard library not a true and intrinsic dependency of D, and is outside of D's charter. [...] D is a much more capable programming language than C, and whatever functionality is being imported from the C standard library can be better implemented in D with compile-time optimizations via templates, memory safety, and other benefits. So if I understood correctly, you did not mean ejecting core.stdc but that DRuntime should not depend on it? Yeah, that sound reasonable for me too (If it is practical effort), regardless of DPP. But C libraries should be kept as a backup for platforms where there aren't D implementations. For example, IO functions could first try (using design by introspection) some implementation like https://github.com/schveiguy/iopipe. And if that does not support the enviroment, then fallback to C IO.
