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4.11: Scope

  • Page ID
    27046
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    In Python, when you define a function, it can access variables that are defined outside of the function. For instance, consider a variable x defined outside of a function update_x. Inside update_x, you can print the value of x because the function has access to x.

    x = 5

    def update_x():
        print(x)  # This will print 5, as 'x' is accessible within 'update_x'

    update_x()

    If you execute this, it will print out the value 5 because the function is able to access the global variable x.

    However, if you try to modify x within update_x, Python will not alter the original x defined outside. Instead, it treats it as if you've created a new local variable x within the function.

    x = 5

    def update_x():
        x = 10  # Python sees this as creating a new local variable, not modifying the global 'x'
        print(x)  # Prints 10

    update_x()
    print(x)  # Still prints 5, as the global 'x' remains unchanged

    You can write a function that can modify global variables from within a function.  To do this, you need to declare x as global inside the function:

    def update_x():
        global x  # Declares that we intend to use and modify the global 'x'
        x = 10  # This now modifies the global 'x'
        print(x)  # Prints 10

    update_x()
    print(x)  # Also prints 10, showing that the global 'x' has been modified

    This example illustrates Python's variable scope management and how the global keyword enables functions to modify variables defined outside their scope.


    4.11: Scope is shared under a not declared license and was authored, remixed, and/or curated by LibreTexts.

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