Python Classes: When to Avoid Them
Python's renowned for its simplicity and readability, and classes are a powerful feature for object-oriented programming. However, they aren't always the best solution. This article explores scenarios where Python's built-in types, functions, and standard library modules offer simpler alternatives. Examples include using namedtuples or dataclasses instead of simple data containers; functions instead of stateless utility classes; modules for grouping constants; dictionaries or lists for simple state management; lambdas or comprehensions for one-off operations; and leveraging Python's extensive standard library. The article emphasizes considering simpler, more efficient alternatives before resorting to classes, keeping code clean and concise—sometimes meaning skipping classes entirely.
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