On Monday, 18 August 2014 at 23:12:28 UTC, Laeeth Isharc wrote:
For me, NumPy has some serious problems despite being the
accepted norm for computational work.
If not too offtopic, do you have a link describing, or would
you briefly summarize these problems? I am intrigued. And
what would you suggest in its place? Fortran?
I'm not sure which computational work he is referring to, but for
statistical analysis, R dominates by a wide margin (although
statistical analysis done in Silicon Valley, the type you read
about on Hacker News, is often done using Python).
I write functions in D, compile as a shared library, and call
from R. The more statically typed code I write, the more I like
it. I'm finishing up a blog post describing my usage.
