Decorators are a powerful feature in Python that allows programmers to modify the behavior of functions or methods. They provide a concise way to add functionality to existing code without modifying it. In this guide, we'll explore decorators in Python, understand their syntax, and demonstrate their practical usage through examples. Understanding Decorators: Decorators in Python are functions that wrap other functions or methods, allowing you to execute code before and after the wrapped function runs. They are typically denoted by the '@' symbol followed by the decorator name, placed above the function definition. Syntax: ``` python @decorator def function():     pass ``` Decorator Functions: A decorator function takes another function as an argument, performs some processing, and returns a new function or modifies the existing one. This enables you to extend the behavior of functions dynamically. Example: ``` python def my_decorator(func):     def wrapper():   ...

Serverless computing is a cloud computing execution model where the cloud provider dynamically manages the allocation and provisioning of servers. In this model, developers can focus solely on writing code without worrying about the underlying infrastructure. This approach is revolutionizing application development in the cloud by offering several advantages and introducing new paradigms. Traditionally, developers had to manage servers, virtual machines, and containers to deploy and run their applications. This required expertise in infrastructure management, capacity planning, and scaling. However, with serverless computing, developers no longer need to provision or manage servers. Instead, they can upload their code to a cloud platform, which automatically handles the execution, scaling, and maintenance of the application. One of the key benefits of serverless computing is its scalability. Applications can automatically scale up or down based on demand, ensuring optimal performance a...