> IMO Go's use of upper/lower case is even worse than Python's use of underscores.

Especially when serialising a struct to JSON - only public members are serialised, so your JSON ends up with a bunch of keys called Foo, so you have to override serialisation names on all the fields to get them lowercased.

> However, what happens when you define a method and miss off the `self` parameter is crazy.

@staticmethod

(although why you want this instead of just a module scope function is unclear). If you want this strange behavior, you should be explicit about it.

Python's actual behavior in this case is far stranger than static methods, which are a standard feature of many object-oriented languages (albeit one that's fairly redundant in a language that allows free functions).

I'm not sure what you're saying here.

If you want `def foo(a, b)` inside a class to be a static method, you need to define it as

    class Foo:
        @staticmethod
        def foo(a, b):
            ...

Now `f = Foo(); f.foo(1, 2)` will work.

However, you need to be explicit about this because it is much more common for this situation to arise because someone forgot a self somewhere than for it to have been intentional. Requiring @staticmethod serves to signal to humans that this odd behavior is intentional (but again I'd say that, stylistically, if you're using a staticmethod, just move it out of the class and into the module namespace, module namespaces in python don't bite).

I just don't think the decorator should be required for static methods. If you write `def foo(a, b)` inside a class, the lack of `self` should be sufficient to make `foo` a static method.

IMO it would make sense for Python to look at `a, b` and assume you wanted a static method with two parameters. Instead it assumes you're using `a` instead of `self` and really wanted an instance method with one parameter.

This requires blessing "self" as special (like this in java etc.). Python made a specific choice not to do that (and there are cases where you don't want to use "self", such as metaclasses, classmethods, and (rarely) nested classes that close over their parent class.

Like I said: most of the time, a missing `self` is an error by the user, and so python requires explicit notification both to the language, and to other people, that you're doing what you mean to do, and not just making a mistake.

I think that's the point: requiring the user to explicitly pass "self" rather than making it a language keyword mostly just gives the user an unnecessary opportunity to make mistakes.

Except in Pythonland, "explicit is better than implicit"

https://www.python.org/dev/peps/pep-0020/

Wouldn't it be more explicit if there was a designated keyword that objects could use to access their own members instead of implicitly assuming that any first argument to a method is a reference to them, only called 'self' by convention?

> Wouldn't it be more explicit if there was a designated keyword that objects could use to access their own members

Not really. You end up implicitly injecting some value into local namespaces instead of having a function that takes an argument.

The implicitness of methods working differently than normal functions > the implicitness of classes passing a first argument to methods.

Should super then also be a method argument?

Honestly, I think it would have made some amount of sense to make super a method defined on the base object so that

    def __init__(self, x, y):
        self.super(x, y)

would be the convention. There may be some infra issue with this (and in general, `super` has to be kind of magical no matter how you handle it). But yes, in general I can vibe with "super is too implicit".

Ruby generally (I think? I haven't seen much of Ruby code) uses "@" instead of "self.", and "@@" instead of "ParticularClassName." (btw, "self.__class__" doesn't cut it), and it seems to produce no namespace pollution.