On Wednesday, 17 February 2016 at 02:32:01 UTC, bachmeier wrote:
You can discuss here, but there is also a gitter room
https://gitter.im/DlangScience/public
Also, I've got a project that embeds R inside D
http://lancebachmeier.com/rdlang/
It's not quite as good a user experience as others
On Wednesday, 17 February 2016 at 02:03:40 UTC, Jon D wrote:
On Tuesday, 16 February 2016 at 16:27:27 UTC, bachmeier wrote:
On Monday, 15 February 2016 at 11:09:10 UTC, data pulverizer
wrote:
As an alternative are there plans for parallel/cluster
computing frameworks for D?
You can use
On Tuesday, 16 February 2016 at 16:27:27 UTC, bachmeier wrote:
On Monday, 15 February 2016 at 11:09:10 UTC, data pulverizer
wrote:
As an alternative are there plans for parallel/cluster
computing frameworks for D?
You can use MPI:
https://github.com/DlangScience/OpenMPI
FWIW, I'm
On Monday, 15 February 2016 at 11:09:10 UTC, data pulverizer
wrote:
As an alternative are there plans for parallel/cluster
computing frameworks for D?
You can use MPI:
https://github.com/DlangScience/OpenMPI
On Tuesday, 16 February 2016 at 15:03:36 UTC, Jakob Jenkov wrote:
I cannot speak on behalf of the D community. In my opinion I
don't think that it is D that needs a big data strategy. It is
the users of D that need that strategy.
I am originally a Java developer. Java devs. create all kinds
Perhaps the question is too prescriptive. Another way is: Does
D have a big data strategy? But I tried to anchor it to some
currently functioning framework which is why I suggested RDD.
I cannot speak on behalf of the D community. In my opinion I
don't think that it is D that needs a big data
On Monday, 15 February 2016 at 11:09:10 UTC, data pulverizer
wrote:
Are there are any plans to create a scala spark-like RDD class
for D
(https://www.cs.berkeley.edu/~matei/papers/2012/nsdi_spark.pdf)? This is a powerful model that has taken the data science world by storm; it would be useful
