Decorators in Python are a prime-time example of a perfectly implemented feature. It does take a while to wrap your head around, but it’s worth it.

Summary Decorators are a great way to make your codebase more flexible and easy to maintain. They provide a simple way to do runtime validation on functions and are handy for debugging as well.

Easy peasy Python decorators. Contribute to mplanchard/pydecor development by creating an account on GitHub.

PyFlow.ts - Bridge Python and TypeScript with ease. Use simple decorators to expose Python functions, methods, and classes to TypeScript with full type safety.

Inheritance A generic and simple idea first occurs to programmers when thinking about decorators: write the class, which extends the decorated class.

Chapter 3: Algorithms Python includes several modules for implementing algorithms elegantly and concisely using whatever style is most appropriate for the task. It supports purely procedural, ...