Closures in Python variable assignment
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Closures are a powerful and often misunderstood concept in Python. They allow functions to retain access to variables from their containing (enclosing) scopes even after the scopes have finished execution. In simpler terms, a closure allows a function to remember the environment in which it was created. In this tutorial, we'll explore the concept of closures in Python, with a focus on variable assignment.
A closure is a function object that has access to variables in its lexical scope, even when the function is called outside that scope. This is achieved by nesting a function inside another function and capturing the outer function's variables. The inner function, when returned or passed around, forms a closure.
One of the key aspects of closures is their ability to "close over" variables. This means that the inner function can access and modify variables from the outer function's scope. Let's walk through an example to understand this better.
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