[Haskell-beginners] Motivation to Learn Haskell
perry2of5 at yahoo.com
Fri Sep 3 19:30:21 EDT 2010
You might find this discussion started by a skeptic interesting (I did):
The topic is different, but the responses tell me:
- Lots of library code that I expect to be written already doesn't exist for
- This isn't so bad as the code you have write is relatively succinct.
- You still have to write the missing code. Which sucks (tm).
I'm using Haskell for lots of one-off data processing. It is generally quick to
develop. It generally yields type errors rather than gibberish when I write
something stupid in my code. I recommend it. But I've never used SciPy so I
can't comment on the relative depth of the libraries.
With all that said, there are are libraries with the obvious statistical
If you do jump in, I'd recommend the Real World Haskell book or the The Haskell
School of Expression book.
----- Original Message ----
From: Lorenzo Isella <lorenzo.isella at gmail.com>
To: beginners at haskell.org
Sent: Fri, September 3, 2010 3:57:26 PM
Subject: [Haskell-beginners] Motivation to Learn Haskell
It is my first post to this list and please do not take it as an attempt to
start any flamewar.
>From time to time, I try to find the motivation to learn at least the
fundamentals of another programming language.
I normally use R and Python on a daily basis (but I am not that much into OO
programming) and have a good knowledge of Fortran and a rather superficial one
Beside learning a new language as a sort of mind expanding exercise, I try to
figure out how and if it can save me some time in my work and how it measures up
against other languages.
These days I tend to rely on R for data analysis and visualization whereas I use
Python (in particular Numpy+SciPy) for number crunching (it is very convenient
to use scipy/numpy to solve ODE's, manipulate arrays and so on).
Now, I wonder what benefit I would gain from learning Haskell since I mainly
write codes for numerical simulations/data analysis.
I know Haskell is gaining momentum e.g. in the financial environment (I happened
to see Haskell knowledge as a specification in some quant jobs) hence it must be
more than suitable for numerical work and, by the little I have understood so
far, it allows one to write code really resembling mathematical expressions (I
was impressed by guards and curried functions).
However, it also looks to me (correct me if I am mistaken) that Haskell is a far
cry from the wealth of standard and contributed scientific modules you have in
Python or R and thanks to which you do not re-implement the wheel yourself.
Any thoughts/suggestions are really appreciated.
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