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Ultimately Julia combines the strengths of both and much more. It is the future IMO, not R or python.

way to miss the point. Part of a language selection for a real -world project is based on the libraries available for it. If I'm doing systems administration programming, there is a much higher probability of there being a python library to interact with BGP or namespaces than there is for Julia.

Selecting Julia blindly is just as stupid as selecting R or python blindly. Language features are only a small part of the reason you choose a language for a large project.

The Julia FFI for Python is absolutely excellent -- calling a particular Python library from Julia takes very, very little effort. As a language for scientific programming, Julia is way ahead of Python. So I'm not sure if this particular argument holds much water.

https://github.com/stevengj/PyCall.jl

I think it is a chicken or the egg problem with Julia right now. Julia is very much a positively viewed language that isn't being used much.

There are not enough libraries (I looked 3 months ago) for me to do my work in Julia.

There isn't enough users to make the libraries for my use case.

What is missing? If its something like shiny, Julia is well on way to obviating that problem: https://shashi.github.io/Escher.jl/

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