When to Use Classes in Python: A Guide for Data and Automation Developers

If you’ve been working with Python primarily for data processing, automation scripts, or small web applications, you may wonder when, if ever, you should use classes. Python supports multiple programming paradigms, and while classes are central to Object-Oriented Programming (OOP), not every Python script needs them. Here’s a guide on when classes can be useful in Python, especially for tasks involving automation, data handling, and small web projects.

Why Use Classes?

Classes provide a way to organize code that models complex data and behavior. They can make your scripts more modular, maintainable, and reusable. Here are some scenarios where classes might improve your code:

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