Has D failed? ( unpopular opinion but I think yes )

[bioinfornatics]

On Friday, 12 April 2019 at 07:35:05 UTC, Tofu Kaitlyn wrote:
> Sorry for that title, but this is something I have been 
> thinking about for a while...
>
> I honestly feel like D is a failure. I kinda just wanted to 
> vent about it and see what other people think.
>
> I have been using D since around 2012 or 2013, instantly fell 
> in love, use to post on the forms a lot under the name Tofu 
> Ninja. I was convinced D was the future but since then I have 
> become disheartened. The biggest thing that makes me feel like 
> this is that in the 7 years I have been using D I literally 
> have never met another programmer IRL who has even heard of it. 
> I put on my resume that I like D and every interview I get 
> asked about it, having to explain what D even is because they 
> have never heard of it. I have never seen a job posting listing 
> D. Never see any projects pop up on /r/programming using D. It 
> feels like to the rest of the programming universe, D doesn't 
> even exist. Sometimes I see threads on reddit like "what's your 
> favorite programming language" and I always look for D but 
> never find it.
>
> And honestly I don't think that is going to change. I feel like 
> D has failed.
>
> I duno... what do yall think? Is D going to somehow explode in 
> popularity in 5-10 years? Am I missing some part of the 
> picture? Or am I right and if so what can be done about it?

D is great language it now not a young old.

We know all what D are missing to be great, globally we see the 
trend of the industry which is focus on feature from libraries 
and framework:
- to be secure
- to generate easily a web app with micro-architecture (see 
jhipster)
- create easily a web app (see the success of ruby they are some 
years ago and now python through Django, Flask …)
- to be efficient and middle/high level (see Spark, and for 
statistician/datalake user tools like zeppelin which make 
beautiful graphic form a datalake)
- to be able to use a powerful deeplearning library even if you 
are low in programming skills (see tensorflow, keras and other)
- to be shareable easily (what about to have a builder able to 
generate a container automatically , that save user time so they 
like it)

I agree now that D have failed on many way:
- Dmd hast started with something like than some pieces of code 
was not totally free
-> imply bad buzz and increased the sense of rejection from c++ 
community
- D1 to D2 was again a disaster
-> implying again a bad buzz and increased the sense of rejection 
from c++ community
-> Dub could be good but I do not like it as a fedorapackager and 
has a packager for a HPC center.
Dub do not support staged build which is a standard and it is 
hard to work with it in a offline environment
-> D intellisense is not easy to enable from IDE as we have to 
build several tools to get it
-> multiple compiler dmd, ldc is now seen as a waste of time from 
a non-D community