Higher Order Functions#
In Python functions are treated as first class citizens, allowing you to perform the following operations on functions:
A function can take one or more functions as parameters
A function can be returned as a result of another function
A function can be modified
A function can be assigned to a variable
In this section, we will cover:
Handling functions as parameters
Returning functions as return value from another functions
Using Python closures and decorators
Function as a Parameter#
def sum_numbers(nums):
return sum(nums)
def higher_order_function(f, lst):
summation = f(lst)
return summation
result = higher_order_function(sum_numbers, [1, 2, 3, 4, 5])
result
15
Function as a Return Value#
def square(x):
return x**2
def cube(x):
return x**3
def absolute(x):
if x >= 0:
return x
else:
return -(x)
def higher_order_function(type):
if type == "square":
return square
elif type == "cube":
return cube
elif type == "absolute":
return absolute
result = higher_order_function("square")
print(result(3))
result = higher_order_function("cube")
print(result(3))
result = higher_order_function("absolute")
print(result(-3))
9
27
3
You can see from the above example that the higher order function is returning different functions depending on the passed parameter.
Python Closures#
Python allows a nested function to access the outer scope of the enclosing function. This is is known as a Closure. Let us have a look at how closures work in Python. In Python, closure is created by nesting a function inside another encapsulating function and then returning the inner function.
def add_ten():
ten = 10
def add(num):
return num + ten
return add
closure_result = add_ten()
print(closure_result(5))
print(closure_result(10))
15
20
Python Decorators#
A decorator is a design pattern in Python that allows a user to add new functionality to an existing object without modifying its structure. Decorators are usually called before the definition of a function you want to decorate.
Creating Decorators#
To create a decorator function, we need an outer function with an inner wrapper function.
"""This decorator function is a higher order function
that takes a function as a parameter"""
def uppercase_decorator(function):
def wrapper():
func = function()
make_uppercase = func.upper()
return make_uppercase
return wrapper
@uppercase_decorator
def greeting():
return "Welcome to Python"
print(greeting())
WELCOME TO PYTHON
Applying Multiple Decorators to a Single Function#
"""These decorator functions are higher order functions
that take functions as parameters"""
# First Decorator
def uppercase_decorator(function):
def wrapper():
func = function()
make_uppercase = func.upper()
return make_uppercase
return wrapper
# Second decorator
def split_string_decorator(function):
def wrapper():
func = function()
splitted_string = func.split()
return splitted_string
return wrapper
# order with decorators is important in this case - .upper() function does not work with lists
@split_string_decorator
@uppercase_decorator
def greeting():
return "Welcome to Python"
print(greeting())
['WELCOME', 'TO', 'PYTHON']
Accepting Parameters in Decorator Functions#
Most of the time we need our functions to take parameters, so we might need to define a decorator that accepts parameters.
def decorator_with_parameters(function):
def wrapper_accepting_parameters(para1, para2, para3):
function(para1, para2, para3)
print("I live in {}".format(para3))
return wrapper_accepting_parameters
@decorator_with_parameters
def print_full_name(first_name, last_name, country):
print("I am {} {}. I love to Python.".format(first_name, last_name, country))
print_full_name("Aurora", "Luna", "Indonesia")
I am Aurora Luna. I love to Python.
I live in Indonesia