Re: [Haskell-cafe] maybe a goal and challenge for the Haskell in terms of scientific computing
FWIW, I always thought that Haskell, and in particular, ghci, would be a great environment for statistics. I've used R a bit, and while it has a functional flavor to it, I find Haskell much nicer for programming. We just need a nice data frame type: a sliceable, labelable¹ multi-dimensional array. (Of course, the real value in such a package is in the extent of libraries.) -k ¹) Please accept my apologies if you are native English speaker. -- If I haven't seen further, it is by standing in the footprints of giants ___ Haskell-Cafe mailing list Haskell-Cafe@haskell.org http://www.haskell.org/mailman/listinfo/haskell-cafe
Re: [Haskell-cafe] maybe a goal and challenge for the Haskell in terms of scientific computing
On Oct 3, 2008, at 8:26 PM, Galchin, Vasili wrote: Here is a site I discovered a while back for another language ... I guess in the back of my mind this more where I was going vis-a-vis scientific computing http://www.enthought.com/ I interned at Enthought over this last summer; it's a very cool place. Many of the open-source scientific libraries could be rewritten in Haskell without significant difficulty, and this actually seems like a decent idea. SciPy and NumPy are the two most significant libraries worth thinking about, in my opinion. Some of the other software, e.g. Traits, is less relevant to scientific software in the context of Haskell. Much of their stack, especially Traits, TraitsGUI, and application libraries are designed to help write applications quickly without much programming experience. With these tools, it's easy for scientists, without knowing much Python, to write large programs that work well for most of their purposes. Jeff Wheeler ___ Haskell-Cafe mailing list Haskell-Cafe@haskell.org http://www.haskell.org/mailman/listinfo/haskell-cafe
Re: [Haskell-cafe] maybe a goal and challenge for the Haskell in terms of scientific computing
Let me recuse myself What is the nature of the open source license? Vasili On Fri, Oct 3, 2008 at 8:39 PM, Jeff Wheeler [EMAIL PROTECTED] wrote: On Oct 3, 2008, at 8:26 PM, Galchin, Vasili wrote: Here is a site I discovered a while back for another language ... I guess in the back of my mind this more where I was going vis-a-vis scientific computing http://www.enthought.com/ I interned at Enthought over this last summer; it's a very cool place. Many of the open-source scientific libraries could be rewritten in Haskell without significant difficulty, and this actually seems like a decent idea. SciPy and NumPy are the two most significant libraries worth thinking about, in my opinion. Some of the other software, e.g. Traits, is less relevant to scientific software in the context of Haskell. Much of their stack, especially Traits, TraitsGUI, and application libraries are designed to help write applications quickly without much programming experience. With these tools, it's easy for scientists, without knowing much Python, to write large programs that work well for most of their purposes. Jeff Wheeler ___ Haskell-Cafe mailing list Haskell-Cafe@haskell.org http://www.haskell.org/mailman/listinfo/haskell-cafe
