How to understand the variable scope in python

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In Python, variable scope refers to the region in your code where a variable can be accessed or modified. Understanding variable scope is crucial for writing maintainable and bug-free code. Python has two main types of variable scope: global scope and local scope. This tutorial will help you grasp the concept of variable scope and provide examples to illustrate the differences.
A variable defined outside of any function or block has a global scope. It can be accessed from anywhere in the code, including within functions.
In this example, global_variable is defined outside the function and can be accessed both inside and outside the function.
Variables defined inside a function have a local scope, meaning they can only be accessed within that specific function.
In this example, local_variable is defined inside the function and is not accessible outside of it.
When a variable with the same name exists both globally and locally, the local variable takes precedence within its scope.
In this example, the local variable inside the function takes precedence over the global variable when accessed within the function.
To modify a global variable from within a function, you need to use the global keyword.
In this example, the global keyword is used to indicate that the global_variable being modified within the function is the global one.
Understanding variable scope in Python is fundamental to writing efficient and maintainable code. By mastering global and local scopes, you can prevent unintended variable shadowing and create code that is easier to understand and debug.
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