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nested functions in python: a comprehensive tutorial
nested functions, also known as inner functions or local functions, are functions defined inside another function. they are a powerful feature in python that allows you to create more organized, modular, and readable code, especially when dealing with complex logic. this tutorial will cover everything you need to know about nested functions, including their syntax, scope, use cases, and advantages.
*1. introduction to nested functions*
a nested function is a function that is defined within the body of another function. the outer function is also known as the enclosing function or the parent function. nested functions have access to the variables and parameters defined in the enclosing function's scope. this is a key characteristic and a primary reason for using them.
*basic syntax:*
*explanation:*
`outer_function(x)`: this is the outer function that takes an argument `x`.
`inner_function(y)`: this is the nested or inner function, defined inside `outer_function`. it takes an argument `y`.
`x + y`: inside `inner_function`, we're adding `y` to `x`. crucially, `inner_function` has access to the variable `x` defined in `outer_function`'s scope. this is called a *closure*.
`return inner_function(5)`: the outer function calls the inner function and returns the result.
*2. scope and closures*
the most important aspect of nested functions is their interaction with scope. let's delve deeper:
*scope:* scope refers to the region of a program where a variable or function is accessible. python follows the legb rule for resolving names:
**l**ocal: names defined within the current function.
**e**nclosing function locals: names in the scope of any enclosing functions (including nested functions).
**g**lobal: names defined at the top level of the module (outside any function or class).
**b**uilt-in: names that are pre-defined in python (e.g., `len`, `prin ...
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