The global
keyword in Python allows a function to modify a variable that exists in the global scope, rather than creating a local variable. By default, variables assigned inside a function are local to that function. However, using global
, you can access and modify variables defined outside of the function, allowing for shared state across different parts of your program.
In Python, variables have different scopes, such as local, enclosing, and global. Normally, when a variable is assigned inside a function, it is treated as local to that function. However, if you want to modify a global variable inside a function, you must declare it as global
.
This tells Python that var_name
refers to the global variable rather than creating a new local one.
Without the global
keyword, variables assigned inside functions are treated as local to that function. However, with global
, you can modify global variables.
Example:
In this example, without using global
, the count
inside the function would be treated as a local variable, and the global count
would remain unchanged.
Global variables allow different functions to share and modify the same state. This is useful when you need multiple functions to operate on the same data.
Example:
Here, both add_to_total
and reset_total
functions are modifying the same global total
variable.
Global variables can be used to store configuration values or flags that multiple functions in a program need to access.
In game development, global variables can store the state of the game that multiple functions need to access and modify.
This approach allows the game score to be shared and updated across different game components.
The global
keyword in Python is essential when you need to modify global variables inside a function. While it can simplify sharing data across functions, it should be used with care to avoid side effects and maintain code readability. By understanding the scope of variables and when to use global
, you can manage state more effectively in your programs.