Lambda functions are commonly used with built-in functions like map(), filter(), and sorted().

a = [(1, 2), (4, 1), (9, 10), (13, -3)] a.sort(key=lambda x: x[1]) print(a) # Output: [(13, -3), (4, 1), (1, 2), (9, 10)]

lambda expression is a shorthand way of defining a function that is not bound to a specified name during its creation.

Run Python code in Lambda. Your code runs in an environment that includes the SDK for Python (Boto3) and credentials from an AWS Identity and Access Management (IAM) role that you manage.

The Python lambda statement is an anonymous or unbound function and a pretty limited function at that. Let’s take a look at a few typical examples and see if we can find a use case for it. The typical examples that one normally sees for teaching the lambda are some sort of boring doubling function.

Small anonymous functions can be created with the lambda keyword. This function returns the sum of its two arguments: lambda a, b: a+b. Lambda functions can be used wherever function objects are required.

l = [2,4,7,3,14,19] for i in l: # your code here l = [2,4,7,3,14,19] for i in l: # your code here my_lambda = lambda x : (x % 2) == 1 print(my_lambda(i)) test_output_contains("False") test_output_contains("False") test_output_contains("True") test_output_contains("True") test_output_contains("False") test_output_contains("True") success_msg("Nice work!") This site is generously supported by DataCamp. DataCamp offers online interactive Python Tutorials for Data Science.

April 23, 2026 - Runnable Python docs - edit and run every example in your browser, no setup. A beginner's guide to Python lambda functions: syntax, limits, real use cases with sorted, min, max, map, and filter - and when to prefer def.

June 17, 2024 - Video Materials Lambda expressions, typically called lambda functions in most Python documentation, are effectively a syntactic shortcut for defining a function within Python code.

Our lambda function takes on 2 arguments, x and y, and then computes the remainder of those 2 using Python’s % operator via x % y.

August 18, 2020 - Learn a quicker way of writing functions on the fly with lambda functions. ... You can write your very own Python functions using the def keyword, function headers, docstrings, and function bodies.

June 14, 2025 - You can add a docstring to a Python lambda via an assignment to __doc__ to document a lambda function.

In Python, a lambda function is an anonymous function, that is, a function that is declared without a name. It is a small and restricted function that is no longer than one line. Like a normal func...

Python borrowed the name to define anonymous functions. Lambda functions let you write quick, throwaway functions without formally defining them using def.

May 30, 2003 - Lambda forms (lambda expressions) have the same syntactic position as expressions. They are a shorthand to create anonymous functions; the expression lambda arguments: expression yields a function object.

The Lambda function handler is the method in your Python code that processes events. When your function is invoked, Lambda runs the handler method.

January 31, 2025 - Lambdas are limited to a single expression and can quickly become unreadable for more intricate operations. Reusable or named functions. If the function needs to be reused or benefits from a descriptive name, a standard def function is more appropriate. Debugging or documentation.

July 24, 2020 - Python’s decorator syntax allows us to extend the behavior of a function with a wrapper. When declaring a function with lambda, it’s still possible to use decorators, but without the @ syntax which highlights use as a decorator.