As a fellow Julian, I agree. To reiterate what I said during my JuliaCon talk, I never truly understood what Rubyists meant when they said "optimised for happiness", Ruby never had that effect on me and I remained a happy Pythonista. However, Julia makes me feel this way and got me "hacking" again after having been in a bit of a slump.
That being said, we need to realise how young Julia actually is. Last Sunday marked six years since the first commit and the language has only been publicly available for three years. Julia is as old as Python was in 1994, or as old as Ruby was in 1998. Things are rough around the edges, but getting better. Things are missing in order for you to get productive quickly, but it is improving rapidly.
I do tell people around me that Julia is most likely the language that I love the most, I tell them about the features, my involvement, etc. But, when they say "That sounds awesome! Should I use it?", I hesitate and say, well, it depends. Are you already very productive in what you are currently using? Is speed an issue for you? If not, don't feel rushed, if you want to be a "pioneer" you certainly can be and we will welcome you. But consider your own situation before jumping ship, what do you need to be productive in your day-to-day job? However, keep an eye on Julia, because I am convinced that the cost of adaptation for you will continue to go down and if there is any language that has the chance to become "just right" for Machine Learning over the next couple of years, it is most likely going to be Julia.
That being said, we need to realise how young Julia actually is. Last Sunday marked six years since the first commit and the language has only been publicly available for three years. Julia is as old as Python was in 1994, or as old as Ruby was in 1998. Things are rough around the edges, but getting better. Things are missing in order for you to get productive quickly, but it is improving rapidly.
I do tell people around me that Julia is most likely the language that I love the most, I tell them about the features, my involvement, etc. But, when they say "That sounds awesome! Should I use it?", I hesitate and say, well, it depends. Are you already very productive in what you are currently using? Is speed an issue for you? If not, don't feel rushed, if you want to be a "pioneer" you certainly can be and we will welcome you. But consider your own situation before jumping ship, what do you need to be productive in your day-to-day job? However, keep an eye on Julia, because I am convinced that the cost of adaptation for you will continue to go down and if there is any language that has the chance to become "just right" for Machine Learning over the next couple of years, it is most likely going to be Julia.