Nim programming language finally hit 1.0

Chris wendlec at
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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