{"id":66,"date":"2026-03-01T16:05:04","date_gmt":"2026-03-01T11:05:04","guid":{"rendered":"https:\/\/gigz.pk\/python\/?post_type=lesson&p=66"},"modified":"2026-03-13T10:40:48","modified_gmt":"2026-03-13T05:40:48","slug":"lambda-functions","status":"publish","type":"lesson","link":"https:\/\/gigz.pk\/python\/lesson\/lambda-functions\/","title":{"rendered":"Lambda Functions"},"content":{"rendered":"\n

A lambda function<\/strong> is a small anonymous (unnamed) function in Python.
It is used for short, simple operations that can be written in a single line.<\/p>\n\n\n\n

Lambda functions are often used when a function is needed temporarily.<\/p>\n\n\n\n

SYNTAX OF LAMBDA FUNCTION<\/strong><\/h1>\n\n\n\n
lambda arguments: expression<\/pre>\n\n\n\n
\u2022 lambda<\/code> is the keyword
\u2022 Arguments are inputs (like parameters)
\u2022 Expression is the value that will be returned automatically<\/p>\n\n\n\n
Note: Lambda functions do not use the return<\/code> keyword. The result of the expression is returned automatically.<\/p>\n\n\n\n
EXAMPLE 1: SIMPLE LAMBDA FUNCTION<\/strong><\/h1>\n\n\n\n
add = lambda a, b: a + b
print(add(5, 3))<\/pre>\n\n\n\n
Output:
8<\/p>\n\n\n\n
This works similar to:<\/p>\n\n\n\n
def add(a, b):
    return a + b<\/pre>\n\n\n\n
EXAMPLE 2: LAMBDA WITH ONE ARGUMENT<\/strong><\/h1>\n\n\n\n
square = lambda x: x * x
print(square(4))<\/pre>\n\n\n\n
Output:
16<\/p>\n\n\n\n
LAMBDA WITH IF-ELSE (CONDITIONAL EXPRESSION)<\/strong><\/h1>\n\n\n\n
check_even = lambda x: \"Even\" if x % 2 == 0 else \"Odd\"
print(check_even(5))<\/pre>\n\n\n\n
Output:
Odd<\/p>\n\n\n\n
USING LAMBDA WITH BUILT-IN FUNCTIONS<\/strong><\/h1>\n\n\n\n
Lambda functions are commonly used with functions like map()<\/code>, filter()<\/code>, and sorted()<\/code>.<\/p>\n\n\n\n
Example with map()<\/h2>\n\n\n\n
numbers = [1, 2, 3, 4]
squares = list(map(lambda x: x * x, numbers))
print(squares)<\/pre>\n\n\n\n
Example with filter()<\/h2>\n\n\n\n
numbers = [1, 2, 3, 4, 5, 6]
evens = list(filter(lambda x: x % 2 == 0, numbers))
print(evens)<\/pre>\n\n\n\n
WHEN TO USE LAMBDA FUNCTIONS<\/strong><\/h1>\n\n\n\n
\u2022 For short, simple operations
\u2022 When passing a function as an argument
\u2022 When you need a quick temporary function<\/p>\n\n\n\n
LIMITATIONS OF LAMBDA FUNCTIONS<\/strong><\/h1>\n\n\n\n
\u2022 Can only contain a single expression
\u2022 Cannot include multiple statements
\u2022 Less readable for complex logic<\/p>\n\n\n\n
WHY LAMBDA FUNCTIONS ARE IMPORTANT<\/strong><\/h1>\n\n\n\n
\u2022 Make code shorter and cleaner
\u2022 Useful in functional programming
\u2022 Help write concise and efficient programs<\/p>\n\n\n\n
Understanding lambda functions<\/strong> helps you write compact and professional Python code.<\/p>\n\n\n\n
<\/strong> 
<\/p> <\/div> <\/div>\n\n\n
Home<\/a><\/span> \u00bb PYTHON FUNDAMENTALS (PYF) > Functions > Lambda Functions<\/span><\/span><\/div>\n\n\n
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