Julia for data science is not as nearly as true. The landscape of data science or machine learning is shifting so fast because of the recent deep learning revol

Julia for data science is not as nearly as true. The landscape of data science or machine learning is shifting so fast because of the recent deep learning revolution, which, IMHO, makes some Julia's featured improvements a little awkward. If it anyway has to delegate the computation to something like GPU, then the goodie Julia has promised, like auto vectorization, are less important. JS for frontend...Is python ever used in frontend? Only Go is worthy mention here. Yes, Go has some goodies in terms of performance, so it will eat up some Python's share in server-side programming, which I won't deny. TL;DR: Python is on rise as the dominant language for data science, which I didn't think any other language can challenge it in short time. It will still be used/favored in light to middle complexity web services depends on tastes.