What common features do dataclass and namedtuple in Python share?

Both dataclass and namedtuple in Python are used for convenient storage of data with named fields. Common features:

• Both allow creating objects with a fixed set of fields.
• Fields are accessible by name, which improves code readability.
• Both automatically implement methods for easy data access (e.g., __repr__ for pretty printing).
• They are used for structuring data without the need to write a lot of boilerplate code.

Example of usage:

from dataclasses import dataclass
from collections import namedtuple

PointDataClass = dataclass(type('PointDataClass', (), {}))

@dataclass
class PointDC:
    x: int
    y: int

PointNT = namedtuple('PointNT', ['x', 'y'])

p1 = PointDC(1, 2)
p2 = PointNT(1, 2)

print(p1.x, p1.y)  # 1 2
print(p2.x, p2.y)  # 1 2

Both options are convenient for storing simple data structures.