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+---
+Title: 'nonlocal'
+Description: 'Declares a variable inside a nested function that refers to a variable in the nearest enclosing scope (not global).'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Attributes'
+  - 'Classes'
+  - 'Modules'
+  - 'Python'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`nonlocal`** keyword in Python is used inside nested [functions](https://www.codecademy.com/resources/docs/python/functions) to modify a [variable](https://www.codecademy.com/resources/docs/python/variables) defined in the nearest enclosing scope that is not global. It allows inner functions to change variables that belong to the outer function. Without `nonlocal`, assignments inside a nested function create a new local variable instead of updating the one in the enclosing scope.
+
+This keyword is especially useful when building closures or decorators where state needs to persist across function calls without using global variables.
+
+## Syntax
+
+```pseudo
+nonlocal variable_name
+nonlocal variable_name1, variable_name2, ...
+```
+
+**Parameters:**
+
+- `variable_name`: The name of a variable that must already be bound (previously assigned) in an enclosing (non-global) scope. Multiple variable names can be specified, separated by commas.
+
+**Behavior:**
+
+- Declares that the variable belongs to the nearest enclosing (non-global) function scope. The variable must already exist in that scope.
+- Changes to this variable inside the inner function affect the variable in the enclosing scope.
+
+## Example 1
+
+In this example, nonlocal allows an inner function to modify a variable defined in its outer function:
+
+```py
+def outer_function():
+  count = 0  # variable in the enclosing scope
+
+  def inner_function():
+    nonlocal count  # refers to 'count' in outer_function
+    count += 1
+    print("Inner count:", count)
+
+  inner_function()
+  inner_function()
+  print("Outer count after calls:", count)
+
+outer_function()
+```
+
+The output of this code is:
+
+```shell
+Inner count: 1
+Inner count: 2
+Outer count after calls: 2
+```
+
+Here, `nonlocal` ensures that `count` is updated in the `outer_function` scope rather than creating a new local `count` each time.
+
+## Example 2
+
+In this example, `nonlocal` helps track the number of times a closure is called:
+
+```py
+def make_counter():
+  total = 0
+
+  def counter():
+    nonlocal total
+    total += 1
+    return total
+
+  return counter
+
+count_calls = make_counter()
+print(count_calls())
+print(count_calls())
+print(count_calls())
+```
+
+The output of this code:
+
+```shell
+1
+2
+3
+```
+
+## Codebyte Example
+
+In this example, a variable in the outer function is updated from within a nested function using the `nonlocal` keyword:
+
+```py
+def outer():
+  name = "Alice"
+
+  def change_name():
+    nonlocal name
+    name = "Bob"
+    print("Inside:", name)
+
+  change_name()
+  print("Outside:", name)
+
+outer()
+```
+
+This ensures the change affects the variable in the enclosing scope rather than creating a new local one.
+
+## Frequently Asked Questions
+
+### 1. What is the nonlocal keyword in Python?
+
+The `nonlocal` keyword lets you modify a variable in the nearest enclosing scope (not the global one) from within a nested function.
+
+### 2. What does non-local mean in Python?
+
+“Non-local” refers to a variable that isn’t local to the current function but isn’t global either—it belongs to an outer function’s scope.
+
+### 3. What is a nonlocal variable?
+
+A nonlocal variable is one that’s defined in an enclosing function and accessed or modified by an inner function using the nonlocal keyword.
+
+### 4. What is the difference between local and nonlocal in Python?
+
+- Local variables exist only within the current function.
+- Nonlocal variables refer to variables from the nearest enclosing function, allowing modification of that outer variable.
+
+### 5. Is using nonlocal in Python bad?
+
+Not necessarily. `nonlocal` is safe and useful when used carefully in closures or stateful functions. However, overusing it can make code harder to read—so it’s best applied when managing shared state across nested functions.