On Thursday, 22 October 2015 at 20:10:36 UTC, rsw0x wrote:
On Thursday, 22 October 2015 at 19:16:00 UTC, Laeeth Isharc wrote:
On Thursday, 22 October 2015 at 18:23:08 UTC, Andrei Alexandrescu wrote:
On 10/22/2015 09:08 AM, Walter Bright wrote:

This has been a homerun. Congratulations for this work and also for publicizing it! (Consider it might have remained just one forum discussion read by all of 80 persons...) -- Andrei

We really do need to stop hiding our light under a bushel. Thinking in marketing terms doesn't always come easy to technically minded people, and I understand why, but ultimately the community benefits a great deal from people becoming aware of the very real benefits D has to offer (alas people won't just get it, even if you think they should), and there are personal career benefits too from helping communicate how you have applied D to do useful work. It's hard to find great programmers and showing what you can do will pay off over time.

D has no well defined area to be used in. Everyone knows D, when written in a very specific C-mimicking way, is performant. But nobody is using C# or Scala or Python for performance.

You reply to my post, but I don't entirely see how it relates. D is very flexible, and that's its virtue. Because splitting a codebase across multiple languages does have a cost, even if it's often worth paying the cost in order to use the right till for the job when those tools are by their nature specialised. I don't think everyone knows D is performant, and I wouldn't say fast JSON is written in a C mimicking way, taken as a whole.

Choices are based on making trade-offs, and the relevant data are not static, but constantly shifting. When an SSD in 2015 that isn't especially pricey gives 2.1 Gig a sec throughput and one has many terabytes of text data a month to get through, and that's today and datasets keep growing and what I write today may be in use for years then the right decision will be a very different one to that five years ago. That's not just my perception, but those in other fields where the problems are similar - bioinformatics and advertising data being some of the many others. AdRoll is known for their Python work, but their data scientists use D.

And my point, which you didn't really reply to, is that as a community we should do a bit more to share our experiences on how D can be useful in doing real work. As Walter observes, that's also something that pays off personally too.

Reply via email to