I wouldn't say the Python solution is more complicated (complex, maybe), it's quite elegant and it essentially boils down to just pre-setting the first argument to the class instance or class value.

You can do it yourself:

   >> def x(*args): print(args)
   
   >> new_func = a.__get__('silly sausage')

   >> new_func()

   ('silly sausage',)

When you do instance.method() Python will look up 'method' inside 'instance'. If 'method' is a descriptor (with functions are), then `__get__` is called and the first argument is set to 'instance'

Here are the docs if anyone is interested: https://docs.python.org/3/howto/descriptor.html

Yeah, I meant descriptors themselves. Conceptually, having an ability in the language for an object to do some special handling when it's retrieved as a member of another object is a very powerful tool, and once you have it, it solves this particular problem neatly. But it's also an unusual thing to have, and few people are aware that something like this is at play every time you write something like `a.b`.

But how important is the function vs. method distinction, really? I can't think of a reason the typical higher order function should care about whether its argument is a method on some object or not. That seems like a concern that should mostly be encapsulated in the function/method.

Dynamic `this` assumes we want methods to be portable between objects. That's nice and all, but I can't think of the last time I thought it was the best approach to solving a problem in real application code.

It's solely a syntactic thing in this case - so that you can invoke it as x.foo(y) rather than foo(x, y) or x.foo(x, y). So you need some magic for the receiver to become the function argument.

It can be argued that a better way to do this is to just have freestanding generic functions that dispatch on the first argument (or better yet, multimethods that dispatch on as many as you want), and then just consider x.f(y) to be a syntactic sugar for f(x, y). But generics themselves are fairly complicated, and many people don't like that extra complexity.