[byt143]

Julia gives you the best of both worlds. And more.

All those pretty function like things you see above are actually callable objects that can be introspected, intercepted and dispatched on...so you can mix and match pure object abstractions, pure function abstractions and objects with function like properties depending on the usecase.

This is because Julia's philosophy is to make Differentiable Programming a completely seamless and normal programming paradigm inter-operable with all standard code patterns.

And all this is only possible because of a unique mix of amazing reflection, code gen (including hooking into the compiler from third party packages, allowing source to source autodiff and GPU codegen), fast generic/parametric polymorphism even across packages, multiple dispatch and macros, among other technologies.

It's not quite at the stage of "write any normal julia code and it just works", as there are some rough edges being worked out, but that's the vision and it's even now it's leaps and bounds above pytorch.