global
KeywordIn Python, the global
keyword is used to declare that a variable is global, meaning that the variable is defined outside of the function or block and can be accessed and modified throughout the entire program. It’s an essential concept for modifying global variables inside functions.
The global
keyword allows you to work with variables that exist at the module level (outside any function), and you can use it when you need to modify these variables from within a function.
In this blog post, we will explore the following topics:
global
keywordglobal
keywordglobal
keywordglobal
keyword usageglobal
keywordglobal
KeywordNormally, in Python, when you assign a value to a variable inside a function, Python assumes that the variable is local to that function. This means that the variable will only exist within that function’s scope, and any modifications to the variable will not affect the variable outside the function.
For example:
def my_function():
x = 10 # Local variable
print(x)
my_function()
# print(x) # This will raise an error since x is a local variable in my_function.
However, if you want to modify a variable that is defined outside the function, in the global scope, you need to use the global
keyword. The global
keyword tells Python that a variable should not be treated as local, but rather as a global variable.
global
KeywordTo use the global
keyword, simply precede the variable name inside the function with the keyword global
. This allows you to modify the variable in the global scope instead of creating a new local variable.
global variable_name
Here’s how you can modify a global variable from within a function:
global
keyword to modify a global variable
x = 5 # Global variable
def update_global_variable():
global x # Referencing the global variable
x = 10 # Modify the global variable
print(x) # Output: 5
update_global_variable()
print(x) # Output: 10 (The global variable x was modified inside the function)
In the example above, the global variable x
is modified inside the function update_global_variable()
. Without the global
keyword, x
would be treated as a local variable, and any changes made to it inside the function would not affect the global x
.
global
KeywordThe global
keyword should be used only when you explicitly need to modify a global variable from within a function. Here are some common scenarios where the global
keyword may be useful:
It’s important to note that while global
can be useful in certain cases, it should be used cautiously. Overusing global variables can lead to code that is difficult to understand, test, and maintain. It’s often better to pass variables as function arguments or return values to avoid relying too much on the global state.
global
Keyword Usage
sum = 0 # Global variable to store the sum
def add_to_sum(value):
global sum # Access the global variable
sum += value # Add the value to the global sum
add_to_sum(10)
add_to_sum(5)
add_to_sum(20)
print(sum) # Output: 35 (Global sum is updated inside the function)
In this example, the global variable sum
is modified inside the function add_to_sum()
. Each time the function is called, the global variable is updated.
global
for Configuration Settings
config = {"debug": False} # Global configuration dictionary
def enable_debug():
global config # Modify the global config variable
config["debug"] = True
print(config) # Output: {'debug': False}
enable_debug()
print(config) # Output: {'debug': True} (The global config was modified)
In this example, the global configuration dictionary config
is modified inside the function enable_debug()
. Without the global
keyword, changes to config
inside the function would not persist outside of it.
global
KeywordWhile the global
keyword is useful in specific scenarios, it is important to use it responsibly. Here are some best practices:
Relying too much on global variables can make your code difficult to understand and maintain. Ideally, functions should operate independently, passing data through arguments and returning results, rather than modifying global variables. This promotes modularity and makes your code more reusable and testable.
If you need to use global variables, they are best suited for values that remain consistent throughout your program, such as configuration settings or constants. This ensures that the global variables serve a clear purpose and are less likely to be modified unpredictably.
Avoid using global variables for complex or mutable states. For example, rather than using a global list to track user sessions or other dynamic data, consider using classes or passing data between functions explicitly.
If you must use global variables, ensure they are well-documented. A global variable’s purpose should be clear to anyone reading the code, as it’s accessible from many parts of the program.
In some cases, you may want to work with both global and local variables in a function. Here’s an example:
x = 100 # Global variable
def modify_variables():
x = 50 # Local variable
y = 25 # Local variable
global z
z = 75 # Global variable
print("Local x:", x) # Output: 50
print("Local y:", y) # Output: 25
print("Global z:", z) # Output: 75
modify_variables()
print("Global x:", x) # Output: 100 (Global variable x is unaffected)
In this example, the x
variable inside the function is local, and the global x
remains unaffected. The global variable z
is modified using the global
keyword.