from collections import namedtuple
Vector3 = namedtuple('Vector', ['x', 'y', 'z'], verbose=True)
​
vec = Vector3(1,2,3)
vec.x, vec.y, vec.z
​
vec.x = 5 # Çalışmaz, çünkü tuple idir. (Dict'ten varkı burada belli olur)
​
​
def tfunc(a,b,c):
    print(a,b,c)
​
tfunc(*vec)

from builtins import property as _property, tuple as _tuple
from operator import itemgetter as _itemgetter
from collections import OrderedDict
​
class Vector(tuple):
    'Vector(x, y, z)'
​
    __slots__ = ()
​
    _fields = ('x', 'y', 'z')
​
    def __new__(_cls, x, y, z):
        'Create new instance of Vector(x, y, z)'
        return _tuple.__new__(_cls, (x, y, z))
​
    @classmethod
    def _make(cls, iterable, new=tuple.__new__, len=len):
        'Make a new Vector object from a sequence or iterable'
        result = new(cls, iterable)
        if len(result) != 3:
            raise TypeError('Expected 3 arguments, got %d' % len(result))
        return result
​
    def _replace(_self, **kwds):
        'Return a new Vector object replacing specified fields with new values'
        result = _self._make(map(kwds.pop, ('x', 'y', 'z'), _self))
        if kwds:
            raise ValueError('Got unexpected field names: %r' % list(kwds))
        return result
​
    def __repr__(self):
        'Return a nicely formatted representation string'
        return self.__class__.__name__ + '(x=%r, y=%r, z=%r)' % self
​
    def _asdict(self):
        'Return a new OrderedDict which maps field names to their values.'
        return OrderedDict(zip(self._fields, self))
​
    def __getnewargs__(self):
        'Return self as a plain tuple.  Used by copy and pickle.'
        return tuple(self)
​
    x = _property(_itemgetter(0), doc='Alias for field number 0')
​
    y = _property(_itemgetter(1), doc='Alias for field number 1')
​
    z = _property(_itemgetter(2), doc='Alias for field number 2')