In the last session, we discussed the Python functions Operations. Now, we will look at Python's advanced function methods and Operations. The sets are the most important topic in Python.
Let’s start
Definition of Lambda Functions in Python
Lambda functions are small, anonymous functions in Python, created using the Lambda keyword.
They do not require a name, unlike regular functions defined using def.
Single Expression Only- Can perform only one operation or return one value.
Returns automatically- No need to use the return keyword.
Syntax of Lambda Function
lambda arguments: expression
Simple example of a lambda function
#input
#without lambda function
def addition(a,b):
return a+b
addition(2,3)
#output
5
#input
#With lambda function
addition=lambda a,b:a+b
print(addition(2,3))
#output
5
3.Check the Even number or Not
#input
even=lambda num:num%2==0
even(12)
#output
True
4.lambda with multiple parameters
#input
addition1=lambda x,y,z:x+y+z
addition1(12,13,14)
#output
39
5.Map Function
#input
#without map function
numbers=[1,2,3,4,5,6]
def square(number):
return number**2
square(2)
#output
4
#with Map function
#input
list(map(lambda x:x**2,numbers))
#output
[1, 4, 9, 16, 25, 36]
6.Lambda function with map
#input
numbers=[1,2,3,4,5,6,7,8]
list(map(lambda x:x*x,numbers))
#output
[1, 4, 9, 16, 25, 36, 49, 64]
7.MAp multiple iterables
#input
numbers1=[1,2,3]
numbers2=[4,5,6]
added_numbers=list(map(lambda x,y:x+y,numbers1,numbers2))
print(added_numbers)
#output
[5, 7, 9]
8.Use map function to convert strings to integers
#input
str_numbers = ['1', '2', '3', '4', '5']
int_numbers = list(map(int, str_numbers))
print(int_numbers)
#output
[1, 2, 3, 4, 5]
9.Upper the words using MAP function
#input
words=['apple','banana','cherry']
upper_word=list(map(str.upper,words))
print(upper_word)
#output
['APPLE', 'BANANA', 'CHERRY']
10.Filter method
#input
def even(num):
if num%2==0:
return True
even(24)
lst=[1,2,3,4,5,6,7,8,9,10,11,12]
list(filter(even,lst))
#output
[2, 4, 6, 8, 10, 12]
11.filter with a Lambda Function
#input
numbers=[1,2,3,4,5,6,7,8,9]
greater_than_five=list(filter(lambda x:x>5,numbers))
print(greater_than_five)
#output
[6, 7, 8, 9]
12.Filter with a lambda function and multiple conditions
#input
numbers=[1,2,3,4,5,6,7,8,9]
even_and_greater_than_five=list(filter(lambda x:x>5 and x%2==0,numbers))
print(even_and_greater_than_five)
#output
[6, 8]
Filter() to check if the age is greate than 25 in dictionaries
#input
people=[
{'name':'peter','age':32},
{'name':'Jack','age':33},
{'name':'John','age':25}
]
def age_greater_than_25(person):
return person['age']>25
list(filter(age_greater_than_25,people))
#output
[{'name': 'peter', 'age': 32}, {'name': 'Jack', 'age': 33}]
14.Function with args and *kwargs
#input
def print_args_kwargs(*args, **kwargs):
print('args:', args)
print('kwargs:', kwargs)
print_args_kwargs(1, 2, 3, a='apple', b='banana')
print_args_kwargs('hello', 'world', x=10, y=20)
#output
args: (1, 2, 3)
kwargs: {'a': 'apple', 'b': 'banana'}
args: ('hello', 'world')
kwargs: {'x': 10, 'y': 20}
15.Returning Multiple Values
#input
def powers(x):
return x ** 2, x ** 3, x ** 4
print(powers(2))
print(powers(3))
#output
(4, 8, 16)
(9, 27, 81)
Nested Functions
#input
def outer_function(x, y):
def inner_function(a, b):
return a * b
return inner_function(x, y)
print(outer_function(2, 3))
print(outer_function(4, 5))
#output
6
20
Now, We have covered advanced function operations with various examples and methods. In the next article, we will dive into Modules in Python.