Nim programming language finally hit 1.0
Chris
wendlec at tcd.ie
Fri Sep 27 14:13:04 UTC 2019
On Friday, 27 September 2019 at 14:01:34 UTC, bachmeier wrote:
>
> *If* that is going to happen, I think you're right. Many
> economists have been moving from Matlab to Julia. For instance,
> the New York Fed has ported their forecasting model (a fairly
> large codebase) from Matlab to Julia. Matlab is not the best
> language, but a bigger factor is that it's really expensive -
> wealthy institutions complain about Matlab licensing costs. I
> don't see it making much progress in replacing Python or R yet.
> Maybe that's just my small view of the world.
>
> A different use case, for which Julia isn't as well suited, is
> writing extensions. In R, the most popular dependency for
> packages by far is C++ in the form of Rcpp. D is a perfect
> replacements, and that's primarily how I've been using it
> (giving up on C++ for that was why I looked at D in the first
> place). There's a lot of room for D in that area. Too bad I
> don't have time to work on marketing it.
Now, that sounds very interesting and promising. A few bullet
points and maybe it could be turned into a blog post. There are
two obstacles though:
1. D is huge, so you'd need a dedicated section "D for Data
Scientists", so they know exactly which subset / features to use
to get going.
2. Lack of consistency due to a constant change of focus by
leadership / community
Imo, 2. is the biggest obstacle.
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