Practice both, it will make your programming that much better. I think you'd be hard-pressed to find anyone here that ONLY knows Julia. In fact, I bet a majority of people here know at least 3 languages. That's not meant to be a discouraging thought, but rather, as a practical matter you're going to be expected to learn many languages in your career, no matter what you do.
On Tuesday, December 1, 2015 at 3:19:13 PM UTC-5, [email protected] wrote: > > Hi Everyone, > > > I'm currently learning data science and I have a cs101 with python > background. > > > I have this nagging feeling that Julia is going to be huge (and its > pleasing to code in) and so as I begin to learn stats with python, I keep > drifting over to Julia. Learning python seems like I'm investing in a stock > at its peak and its only downhill from there. > > > However, I also have a nagging feeling that its not ready for productive > data to data analysis or data engineering type production, that the job > prospects will be slim for a while and that I will spend too much time > chasing pycall etc errors. > > > Also with python I get can get a backup sysadmin, backend web etc job if > it turns out I'm terrible at stats. > > > I'm thus vacillating and not sure which language to learn here on out. > > > Are my considerations sound? Any other thoughts on this please? > > > Thanks! >
