In Python, function is a group of related statements that perform a specific task.
Functions help break our program into smaller and modular chunks. As our program grows larger and larger, functions make it more organized and manageable.
Furthermore, it avoids repetition and makes code reusable.
def function_name(parameters): """docstring""" statement(s)
Above shown is a function definition which consists of following components.
defmarks the start of function header.
returnstatement to return a value from the function.
def greet(name): """This function greets to the person passed in as parameter""" print("Hello, " + name + ". Good morning!")
Once we have defined a function, we can call it from another function, program or even the Python prompt. To call a function we simply type the function name with appropriate parameters.
>>> greet('Paul') Hello, Paul. Good morning!
Note: Try running the above code into the Python shell to see the output.
The first string after the function header is called the docstring and is short for documentation string. It is used to explain in brief, what a function does.
Although optional, documentation is a good programming practice. Unless you can remember what you had for dinner last week, always document your code.
In the above example, we have a docstring immediately below the function header. We generally use triple quotes so that docstring can extend up to multiple lines. This string is available to us as
__doc__ attribute of the function.
Try running the following into the Python shell to see the output.
>>> print(greet.__doc__) This function greets to the person passed into the name parameter
return statement is used to exit a function and go back to the place from where it was called.
This statement can contain expression which gets evaluated and the value is returned. If there is no expression in the statement or the
return statement itself is not present inside a function, then the function will return the
>>> print(greet("May")) Hello, May. Good morning! None
None is the returned value.
def absolute_value(num): """This function returns the absolute value of the entered number""" if num >= 0: return num else: return -num # Output: 2 print(absolute_value(2)) # Output: 4 print(absolute_value(-4))
Scope of a variable is the portion of a program where the variable is recognized. Parameters and variables defined inside a function is not visible from outside. Hence, they have a local scope.
Lifetime of a variable is the period throughout which the variable exits in the memory. The lifetime of variables inside a function is as long as the function executes.
They are destroyed once we return from the function. Hence, a function does not remember the value of a variable from its previous calls.
Here is an example to illustrate the scope of a variable inside a function.
def my_func(): x = 10 print("Value inside function:",x) x = 20 my_func() print("Value outside function:",x)
Value inside function: 10 Value outside function: 20
Here, we can see that the value of x is 20 initially. Even though the function
my_func() changed the value of x to 10, it did not effect the value outside the function.
This is because the variable x inside the function is different (local to the function) from the one outside. Although they have same names, they are two different variables with different scope.
On the other hand, variables outside of the function are visible from inside. They have a global scope.
We can read these values from inside the function but cannot change (write) them. In order to modify the value of variables outside the function, they must be declared as global variables using the keyword
Basically, we can divide functions into the following two types: