Building Python classes are always fun. But packaging them properly for efficiency, external use, and documentation is very important. In this article, I’ll cover five best practices to document, maintain, and test your Python classes. These methods include the best ways to handle exceptions, write documentation and doctests, decorators for class inheritance and data management, abstract classes and automated packages to clean and format your code.

1 - Exception Handling

Building a Python class is cool. But it is also important to make sure that you’re raising the right errors when incorrect inputs are fed into your function. Here’s an example: Imaging you’re building a function to accept an integer ‘n’ and you build an array of size n X n with it.

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