Sorry for self-reply, but ran out of edit time: a very valid concern about Julia is the lack of packages because it is new - a catch-22 situation that all new l

Sorry for self-reply, but ran out of edit time: a very valid concern about Julia is the lack of packages because it is new - a catch-22 situation that all new languages. This has been recognized by developers and Julia has now got some great inter-language interop packages and functionality, allowing it to harness a world of packages in other languages. * Very efficient interaction with C and Fortran libraries is a core Julia feature, with the ability to pass arrays and structs directly between C and Julia. Calling C: http://docs.julialang.org/en/latest/manual/calling-c-and-fortran-code/ http://docs.julialang.org/en/latest/manual/calling-c-and-for... * Python libraries can be used through PyCall.jl, which is used most famously to call matplotlib (PyPlot.jl) but also other libraries like pandas (Pandas.jl). PyCall.jl: https://github.com/stevengj/PyCall.jl https://github.com/stevengj/PyCall.jl PyPlot.jl: https://github.com/stevengj/PyPlot.jl https://github.com/stevengj/PyPlot.jl Pandas.jl: https://github.com/malmaud/Pandas.jl https://github.com/malmaud/Pandas.jl * Java libraries can be used through JavaCall.jl, which is used in Taro.jl to call Apache Tika and Apache POI JavaCall.jl: https://github.com/aviks/JavaCall.jl https://github.com/aviks/JavaCall.jl Taro.jl: https://github.com/aviks/Taro.jl https://github.com/aviks/Taro.jl * R libraries can be called through Rif.jl Rif.jl: https://github.com/lgautier/Rif.jl https://github.com/lgautier/Rif.jl