Re: D is for Data Science

2014-11-24 Thread weaselcat via Digitalmars-d-announce
With algorithm.sort the deciles bench from the article runs twice as fast(it's in the reddit thread) I see array.sort is planned for future deprecation, what does "future" fall under?

Re: D is for Data Science

2014-11-24 Thread Walter Bright via Digitalmars-d-announce
On 11/24/2014 4:50 PM, Adam D. Ruppe wrote: On Tuesday, 25 November 2014 at 00:34:30 UTC, Walter Bright wrote: Thought I'd post this as a counterpoint to the recent "please break our code" thread. I would caution against putting very much weight in Reddit opinions - there's people who will nev

Re: D is for Data Science

2014-11-24 Thread Adam D. Ruppe via Digitalmars-d-announce
On Tuesday, 25 November 2014 at 00:34:30 UTC, Walter Bright wrote: Thought I'd post this as a counterpoint to the recent "please break our code" thread. I would caution against putting very much weight in Reddit opinions - there's people who will never use D and just look for excuses to justi

Re: D is for Data Science

2014-11-24 Thread Walter Bright via Digitalmars-d-announce
On 11/24/2014 7:27 AM, Gary Willoughby wrote: Just browsing reddit and found this article posted about D. https://www.reddit.com/r/programming/comments/2n9gfb/d_is_for_data_science/cmbn83i Thought I'd post this as a counterpoint to the recent "please break our code" thread.

Re: D is for Data Science

2014-11-24 Thread Dmitry Olshansky via Digitalmars-d-announce
25-Nov-2014 02:43, bearophile пишет: Dmitry Olshansky: Which is 1:1 parity. Another myth busted? ;) > dmitry@Ubu64 ~ $ time ./my2 log > > real0m0.065s > user0m0.042s > sys0m0.023s > dmitry@Ubu64 ~ $ time ./my2 log > > real0m0.063s > user0m0.040s > sys0m0.023s > Read t

Re: D is for Data Science

2014-11-24 Thread bearophile via Digitalmars-d-announce
Dmitry Olshansky: Which is 1:1 parity. Another myth busted? ;) There is still an open bug report: https://issues.dlang.org/show_bug.cgi?id=11810 Do you want also to benchmark that byLineFast that for me is usually significantly faster than the byLine? Bye, bearophile

Re: D is for Data Science

2014-11-24 Thread Dmitry Olshansky via Digitalmars-d-announce
25-Nov-2014 01:28, bearophile пишет: Dmitry Olshansky: Why is File.byLine so slow? Seems to be mostly fixed sometime ago. Really? I am not so sure. Bye, bearophile I too has suspected it in the past and then I tested it. Now I test it again, it's always easier to check then to argue. Tw

Re: D is for Data Science

2014-11-24 Thread Jay Norwood via Digitalmars-d-announce
On Monday, 24 November 2014 at 23:32:14 UTC, Jay Norwood wrote: Is this related? https://github.com/dscience-developers/dscience This seems good too. Why the comments in the discussion about lack of libraries? https://github.com/kyllingstad/scid/wiki

Re: D is for Data Science

2014-11-24 Thread Jay Norwood via Digitalmars-d-announce
On Monday, 24 November 2014 at 15:27:19 UTC, Gary Willoughby wrote: Just browsing reddit and found this article posted about D. Written by Andrew Pascoe of AdRoll. From the article: "The D programming language has quickly become our language of choice on the Data Science team for any task that

Re: D is for Data Science

2014-11-24 Thread Walter Bright via Digitalmars-d-announce
On 11/24/2014 2:25 PM, Dmitry Olshansky wrote: [...] Excellent comments. Please post them on the reddit page!

Re: D is for Data Science

2014-11-24 Thread bearophile via Digitalmars-d-announce
Dmitry Olshansky: Why is File.byLine so slow? Seems to be mostly fixed sometime ago. Really? I am not so sure. Bye, bearophile

Re: D is for Data Science

2014-11-24 Thread Dmitry Olshansky via Digitalmars-d-announce
25-Nov-2014 00:34, weaselcat пишет: On Monday, 24 November 2014 at 15:27:19 UTC, Gary Willoughby wrote: Just browsing reddit and found this article posted about D. Written by Andrew Pascoe of AdRoll. From the article: "The D programming language has quickly become our language of choice on the

Re: D is for Data Science

2014-11-24 Thread weaselcat via Digitalmars-d-announce
On Monday, 24 November 2014 at 15:27:19 UTC, Gary Willoughby wrote: Just browsing reddit and found this article posted about D. Written by Andrew Pascoe of AdRoll. From the article: "The D programming language has quickly become our language of choice on the Data Science team for any task that

Re: DerelictSASS

2014-11-24 Thread Colden Cullen via Digitalmars-d-announce
On Monday, 24 November 2014 at 17:32:36 UTC, Lodin wrote: Of course, I want to register it, but I think it should be a part of Derelict Project, not unofficial binding. What should I do to realize it? And one thing about the diet plugin. I plan to make thin wrapper around binding to simplify

Re: D is for Data Science - reddit discussion

2014-11-24 Thread MrSmith via Digitalmars-d-announce
Haven't noticed that it was already posted. Sorry about that. The disscussion is here http://forum.dlang.org/thread/qeyftagcvkhjjeeba...@forum.dlang.org

D is for Data Science - reddit discussion

2014-11-24 Thread MrSmith via Digitalmars-d-announce
D is for Data Science by Andrew Pascoe http://www.reddit.com/r/programming/comments/2n9gfb/d_is_for_data_science/

dfix 0.2.0

2014-11-24 Thread Brian Schott via Digitalmars-d-announce
dfix is a tool for automatically upgrading the syntax of D source code. Changes since 0.1.1: * #1 dfix will now rewrite "const int foo() {}" to int foo() const {}" * #6 The C-style array syntax fix is no longer incorrectly applied to certain ASM statements. * #9 You can now provide director

Re: DerelictSASS

2014-11-24 Thread Lodin via Digitalmars-d-announce
On Sunday, 23 November 2014 at 19:36:16 UTC, Jacob Carlborg wrote: For more D features I would add a thin layer on top of the raw bindings. Like creating wrappers for functions accepting C strings and have them accept D strings instead. Yes, I think, there should be more layers, more D-ish cons

D is for Data Science

2014-11-24 Thread Gary Willoughby via Digitalmars-d-announce
Just browsing reddit and found this article posted about D. Written by Andrew Pascoe of AdRoll. From the article: "The D programming language has quickly become our language of choice on the Data Science team for any task that requires efficiency, and is now the keystone language for our critic