Same here, Julia's lack of a very broad package ecosystem is less of an issue because i) it's very easy to interface with R, Python and C; ii) types and multipl

Same here, Julia's lack of a very broad package ecosystem is less of an issue because i) it's very easy to interface with R, Python and C; ii) types and multiple dispatch plus basic libraries and efficient code generation make it quick to develop good number crunching code. Furthermore, the ecosystem is growing quickly, and it already has some unique math & stats packages not found elsewhere. Real gems. See https://discourse.julialang.org/t/what-package-s-are-state-of-the-art-or-attract-you-to-julia-and-make-you-stay-there-not-easily-replicateable-in-e-g-python-r-matlab/11294 https://discourse.julialang.org/t/what-package-s-are-state-o...