Functions and OOP: Lambda functions

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Lambda functions (also called anonymous functions) are tiny functions that have no name and only have one expression as their body.

In Python they are defined using the lambda keyword:

lambda <arguments> : <expression>

The body must be a single expression. Expression, not a statement.

This difference is important. An expression returns a value, a statement does not.

The simplest example of a lambda function is a function that doubles the value of a number:

lambda num : num * 2

Lambda functions can accept more arguments:

lambda a, b : a * b

Lambda functions cannot be invoked directly, but you can assign them to variables:

multiply = lambda a, b : a * b

print(multiply(2, 2)) # 4

The utility of lambda functions comes when combined with other Python functionality, for example in combination with map(), filter() and reduce().

Lessons in this unit:

0: Introduction
1: Functions
2: ▶︎ Lambda functions
3: Nested functions
4: Recursion
5: Closures
6: Objects
7: Classes
8: Polymorphism
9: Operator overloading