Re: [Haskell-beginners] Re: Is Haskell for me?

On Fri, Nov 6, 2009 at 4:58 PM, Felipe Lessa wrote:

On 11/6/09, Gaius Hammond wrote:

...

To be fair, Python offloads its heavy lifting to C libraries - NumPy and SciPy run at very close to full C speed on large datasets. This is also how Matlab works. Unladen Swallow is an upcoming JIT compiler for Python.

Where Haskell shines for computation is when you can leverage lazy evaluation.

*If* you can offload most of your work to SciPy. Depending on what you do this is at least difficult. I don't know how much of a neural network can be represented as big fat matrix :).

-- Felipe.

Neural networking can be easily handled in both Python and C. I've used my own Graphine graph theory package for it and found that it was quite easy and reasonably fast, and certainly LEDA is a very high performance, pretty easy-to-use library. There's no need to coerce ANNs into a matrix form if you don't want to. Geremy Condra