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💡Note: In general, we would write replacing the name of the decorator function after the symbol. Notice how the decorator function runs even if we are only calling initial_function(). If we run the code, we see this output: Extra Functionality Notice the very peculiar syntax ( above the function initial_function(): Then (below), we find the function that will be decorated (the ice cream ?) initial_function.The decorator function itself returns the nested function new_function.Notice how f is called inside new_function to achieve the same functionality while adding new functionality before the function call (we could also add new functionality after the function call). This decorator function has an nested function, new_function.
We first find the decorator function def decorator(f) (the sprinkles ✨) that takes a function f as an argument.In the example below, you can see what a typical decorator function looks like in Python: def decorator(f): It lets us add new functionality to an existing function without modifying it. Using a decorator function is like adding chocolate sprinkles to an ice cream ?. ? 2️⃣ Intro to DecoratorsĪ decorator function is basically a function that adds new functionality to a function that is passed as argument. These advantages make properties a really awesome tool to help you write more concise and readable code. By using you can "reuse" the name of a property to avoid creating new names for the getters, setters, and deleters.You can access instance attributes exactly as if they were public attributes while using the "magic" of intermediaries (getters and setters) to validate new values and to avoid accessing or modifying the data directly.The syntax used to define properties is very concise and readable.Properties can be considered the "Pythonic" way of working with attributes because: Let's start with a little bit of context. The basics of decorator functions: what they are and how they are related to How you can use to define getters, setters, and deleters.The advantages of working with properties in Python.
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Welcome! In this article, you will learn how to work with the decorator in Python.
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