I should have provided a key. Where I listed a +, I basically meant that there was either work underway or it was something that could be done yourself without

I should have provided a key. Where I listed a +, I basically meant that there was either work underway or it was something that could be done yourself without hindering a project too much. I did not intend to imply that symbolic expression was a solved problem, or anything of that sort. As for QR decomposition, I am actually rather familiar with it, my brain simply decided to fart on the symbols QR without being followed by decomposition. For Cholesky Decomposition, I'm sticking with "trivial to implement", and I'll even throw in "trivial to implement well": https://github.com/numpy/numpy/blob/v1.10.1/numpy/linalg/linalg.py#L532-L613 https://github.com/numpy/numpy/blob/v1.10.1/numpy/linalg/lin... You asked if D had code for a list of math capabilities that you use on a regular basis. My answer says "In many cases, no, but there's work being done toward that goal." No one is saying "we have a feature-complete math library!". There's much more needed than what you listed, and even the things you listed have many items with zero work done toward them. I am not attempting to say "D can do all these things!", and I don't think the author of the article was either.