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Lambda Functions

Lambda functions are small, anonymous functions defined using the lambda keyword. They are useful for short, simple operations that don’t require a full function definition.

square = lambda x: x**2
print(square(5))  # Output: 25

add = lambda x, y: x + y
print(add(3, 4))  # Output: 7

Lambda functions are often used with higher-order functions like map, filter, and reduce. Higher-Order Functions

Example with map:

numbers = 1, 2, 3, 4, 5
squared_numbers = list(map(lambda x: x**2, numbers))
print(squared_numbers)  # Output: 1, 4, 9, 16, 25

Example with filter:

numbers = 1, 2, 3, 4, 5, 6
even_numbers = list(filter(lambda x: x % 2 == 0, numbers))
print(even_numbers)  # Output: 2, 4, 6

Lambda functions can only contain a single expression, which is implicitly returned. They cannot have multiple statements or complex logic. For more complex operations, a regular function definition is preferred. Python Functions