Another thing that TS does nicely is object handling in general: dot access for objects attributes, object destructuring, typed objects for function options. In

Another thing that TS does nicely is object handling in general: dot access for objects attributes, object destructuring, typed objects for function options. In most ML projects I see a bunch of functions that look like: def my_fn(x, **kwargs): ... return y_1, y_2, y_3 Which is a pain because kwargs could be anything really + now every call site has to expect 3 return values exactly while knowing their order; there's no way of adding an extra return value without changing everyone. In typescript the same function could look like: function myFn(x, options = { someOption: 1 }) { ... return { y_1, y_2, y_3 }; } Which is so much nicer because everything is typed with all types inferred automatically! And you don't burden the call sites with values they don't need: const { y_1 } = myFn(x, { someOption: 1 }); In Python, everyone mostly passes unbundled arguments through every function, and changing anything involves threading these untyped arguments through a bunch of untyped call sites, its not the end of the world but we can do better...