it is in the original language design which is all about type-genericness and separation of implementation from interface with zero-cost abstractions. Creating

it is in the original language design which is all about type-genericness and separation of implementation from interface with zero-cost abstractions. Creating an array with a different `getindex` dispatch is a great example of what Julia's type system was made to do! The standard library chose to use 1-base indexed contiguous fixed-dimesion dynamic arrays, but that's not the right choice for every problem. As evidence of this, check out JuliaArrays (https://github.com/JuliaArrays https://github.com/JuliaArrays) which is a whole Github organization devoted to the development of alternative array types, like StaticArrays (which are stack-allocated immutable arrays) or CatViews (arrays which are non-contiguous and constructed from views of multiple different arrays). The nice thing about Julia is that, if packages are written to work with generic types, they can natively (and efficiently) work with these "non-standard" array types, making them easy to integrate into the scientific ecosystem.