> If you're doing data science aren't sklearn, DL, and numpy getting you 90% of the way there anyway? Not really, tbh. Most of my jobs (even when the primary o

> If you're doing data science aren't sklearn, DL, and numpy getting you 90% of the way there anyway? Not really, tbh. Most of my jobs (even when the primary output was models) require spending a _lot_ of time data wrangling and plotting. R is much, much better for this kind of exploratory work. But if I need to integrate with bigger systems (as I normally do), there's a stronger push for Python to reduce complexity and make it easier for SE's to understand and maintain (some of) the code.