[stanislavb]

If you want to

- be very employable => JS/Express/[a-myriad-of-other-things]

- be able to do anything (including trending AI/ML) => Python/Django (you won't be as productive as with Ruby/Rails and won't the same happiness experience [in regards to web])

- be very productive in Web env & enojoy your time => Ruby on Rails

[noobermin]

How does working with Django translate to being able to work in ML? Merely due to Tensorflow having a python interface?

[tptacek]

It's a running joke at my company (we consult for startups) that no matter what stack they build on, they'll always have a small team of people writing in Python for data science. Which is presumably where that's coming from. It is indeed a sort of de facto standard.

But that's not at all to say that learning Django or Python will get you a data science job; the underlying domain-specific data-science stuff is much harder to learn and qualify for than the Python is.

[tonyarkles]

Probably fair to express that more broadly as Data Science instead of just AI/ML. Libraries like Pandas and Numpy are used all over the place, as well as Python being a relatively straightforward tool for doing data munging tasks.

[0xCMP]

As far as learning/investing in a specific language learning python while doing Django would avoid needing to learn python later, but Django it self wouldn't make you better at AI/ML.

[0xCMP]

Pretty much. I almost always advise Python to learn "programming" and then moving to javascript to get a job cause above is pretty accurate.

I'd recommend JS first if it weren't such a complicated world with so many options.