What is the advantage of using __slots__ in Python compared to traditional attribute storage methods?

Using __slots__ in Python allows you to explicitly specify a fixed set of attributes for class instances, which offers several advantages over the traditional storage of attributes in the __dict__ dictionary:

• Memory savings: Instances with __slots__ do not create a dictionary for attributes but use a more compact internal representation, reducing memory consumption, especially when there are many objects.
• Faster attribute access: Access to attributes can be quicker because there is no need to look up in a dictionary.

Example:

class Point:
    __slots__ = ('x', 'y')

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

p = Point(1, 2)
print(p.x, p.y)  # 1 2

However, with __slots__, you cannot dynamically add new attributes that are not listed, which limits flexibility but increases performance and saves memory.