2002-11-20 19:10:41+00 by Dan Lyke 7 comments
Back when I was musing about language overhead I remember thinkng that a language that dealt with vectors as nicely as Perl deals with strings would be nice. Kuro5hin has an introduction to K that makes it look like a language to try. It's commercial, from Kx Systems, but there are free downloads for Windows, Solaris and Linux.
[ related topics: Free Software Microsoft Perl Open Source Software Engineering ]
comments in ascending chronological order (reverse):
#Comment made: 2002-11-20 20:00:23+00 by: crasch [edit history]
Maybe a useful language, but it's pretty hideous.
#Comment made: 2002-11-20 20:53:02+00 by: Mars Saxman
I don't think I *want* to be able to read that.
#Comment made: 2002-11-20 21:11:24+00 by: Dan Lyke
I have the same initial reaction when looking at Japanese writing, and I want to be able to read that too.
#Comment made: 2002-11-20 21:35:05+00 by: TC
<shudder> all those lisp nightmares come back. Dan, Katakana is the most useful quickest to learn. Hiragana is the most beautiful and poetic IMHO and Kanji makes my head hurt except for the rare symbol here and there that I recognize almost like corporate logos
#Comment made: 2002-11-20 22:04:37+00 by: Shawn
My wife is taking Japanese 101 this quarter - because she enjoyed, and was good at, her introductory Japanese classes in high school. She doesn't ever want to take another Japanese class again.
#Comment made: 2002-11-21 05:03:01+00 by: TheSHAD0W [edit history]
I forwarded that XML parser example to a friend; his reply:
OK. This is similar to APL, which is completely impossible to maintain...
Looking at the site I find a reference to APL. APL is for people that want to try LSD but want the effect to last longer and don't mind ten times as many flash backs.
#Comment made: 2002-11-21 15:26:15+00 by: Mark A. Hershberger [edit history]
Under "If you have a hammer...", is PDL any good for vectors? I think I saw it do some matrix transforms really nicely...
PDL (``Perl Data Language'') gives standard Perl the ability to compactly store and speedily manipulate the large N-dimensional data arrays which are the bread and butter of scientific computing.