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Python classes aren’t always the best solution

hidelooktropic

created: July 24, 2025, 7:41 p.m. | updated: July 24, 2025, 10:17 p.m.

Here are several scenarios where you might not need a Python class:Simple Data Containers: Use Named Tuples or Data ClassesOften, classes are created just to store data. Python’s built-in alternatives, such as named tuples or data classes (Python 3.7+), can be simpler and more concise. x = x self . y = y point = Point( 10 , 20 )Alternative with NamedTuple:from collections import namedtuple Point = namedtuple( 'Point' , [ 'x' , 'y' ]) point = Point( 10 , 20 )Alternative with DataClass (Python 3.7+):from dataclasses import dataclass @dataclass class Point : x: int y: int point = Point( 10 , 20 )Both namedtuple and dataclass are cleaner and automatically provide methods like __init__ , __repr__ , and comparison methods without extra boilerplate. Example: You might think you need a custom class to manage and serialize configurations, but Python’s built-in configparser or json module is usually enough.

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