maybe a goal and challenge for the Haskell in terms of scientific computing
Hello, 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/ Kind regards, Vasili
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
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
participants (3)
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Galchin, Vasili -
Jeff Wheeler -
Ketil Malde