{"version":"1.0","provider_name":"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","provider_url":"https:\/\/atmokpo.com\/w","author_name":"root","author_url":"https:\/\/atmokpo.com\/w\/author\/root\/","title":"Python Closures and Decorators Closures are a way to remember the environment in which a function was created. They allow you to retain access to variables from an outer function even after that function has finished executing. Decorators, on the other hand, are a way to modify or enhance functions or methods without changing their actual code. In Python, closures are created when a nested function references variables from its enclosing function. Decorators are typically defined as functions that return another function, allowing you to add functionality to existing functions. - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8","type":"rich","width":600,"height":338,"html":"
Python Closures and Decorators\n\n\nClosures are a way to remember the environment in which a function was created. They allow you to retain access to variables from an outer function even after that function has finished executing. Decorators, on the other hand, are a way to modify or enhance functions or methods without changing their actual code.\nIn Python, closures are created when a nested function references variables from its enclosing function. Decorators are typically defined as functions that return another function, allowing you to add functionality to existing functions.<\/a><\/blockquote>