In Python, a nested lambda function is a lambda function that is defined inside another lambda function. The outer lambda function serves as a wrapper for the inner lambda function and can pass arguments to it.

The syntax for defining a nested lambda function is:

lambda argument1: lambda argument2: expression

Here, `argument1`

is the input to the outer lambda function and `argument2`

is the input to the inner lambda function. The `expression`

is the operation performed by the inner lambda function?

For example, consider a nested lambda function that takes two arguments and returns their product:

multiply = lambda x: lambda y: x * y print(multiply(2)(3)) # Output: 6

In the above example, the outer lambda function `lambda x:`

takes an argument `x`

and returns an inner lambda function `lambda y:`

. The inner lambda function takes an argument `y`

and returns the product of `x`

and `y`

.

You can also pass arguments to the outer and inner lambda functions separately. Here is an example that takes three arguments and returns their sum:

sum_three = lambda x: lambda y: lambda z: x + y + z print(sum_three(1)(2)(3)) # Output: 6

In the above example, the outer lambda function `lambda x:`

takes an argument `x`

and returns an inner lambda function `lambda y:`

. The second inner lambda function `lambda z:`

takes an argument `z`

and returns the sum of `x`

, `y`

, and `z`

.