Dear All, 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 of C. 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. Cheers Lorenzo