Quite interesting post. I feel that a lot of the numerical Pythonistas are in the same spot:
They tolerate most languages, but find R's syntax a bit unnatural, Matlab lacking when trying to go beyond pure matrix stuff, and are waiting to see if Julia picks up (which it seems to be from what I can tell)
One of the hats I wear is 'does numerics in python'. R is fine when you're playing to its strengths, matlab is an abomination, and I have absolutely no interest in julia.
Why no interest? If it is something that could make you more productive and make your life better then shouldn't you take an interest? Or do you mean "I have looked closely at Julia and it's no good because..." If so the because bit will be of interest to the Julia community (it's 0.4 now so lots of distance to go in its development before it becomes stable)
I took a look at Julia a couple years ago. As far as I could see, the only reason to consider it over python is the speed improvements, and if I'm in a situation where python isn't fast enough, I've already got c, c++, and java to reach for. (Also at the time the library support was lacking (I just checked and the graphs package, which I needed at the time, is still pretty minimal)).
Comments
Quite interesting post. I feel that a lot of the numerical Pythonistas are in the same spot:
They tolerate most languages, but find R's syntax a bit unnatural, Matlab lacking when trying to go beyond pure matrix stuff, and are waiting to see if Julia picks up (which it seems to be from what I can tell)
One of the hats I wear is 'does numerics in python'. R is fine when you're playing to its strengths, matlab is an abomination, and I have absolutely no interest in julia.
Why no interest? If it is something that could make you more productive and make your life better then shouldn't you take an interest? Or do you mean "I have looked closely at Julia and it's no good because..." If so the because bit will be of interest to the Julia community (it's 0.4 now so lots of distance to go in its development before it becomes stable)
I took a look at Julia a couple years ago. As far as I could see, the only reason to consider it over python is the speed improvements, and if I'm in a situation where python isn't fast enough, I've already got c, c++, and java to reach for. (Also at the time the library support was lacking (I just checked and the graphs package, which I needed at the time, is still pretty minimal)).