Test your Python skills with interactive fill-in-the-blank lambda function exercises. Practice lambda syntax, filtering, mapping, and real-world coding scenarios.
lambda
Lambda functions in Python are defined using the `lambda` keyword followed by arguments and an expression.
arguments, expression
Lambda functions can take any number of arguments, but they must consist of exactly one expression.
lambda arguments: expression
The syntax for a lambda function is `lambda` followed by the arguments, a colon, and then the expression.
lambda
This is a lambda function definition that adds 10 to the argument `x`.
lambda
This lambda function takes two arguments, `a` and `b`, and returns their product.
lambda, even
This lambda function checks if the number `x` is divisible by 2 (i.e., even).
small
Lambda functions are typically used for small, one-off functions that are not reused elsewhere in the code.
return
Unlike regular functions, lambda functions don't need the `return` keyword to return a result. The expression itself is the return value.
list of arguments
After the `lambda` keyword, you list the arguments for the function, followed by a colon and the expression.
higher-order
Lambda functions are often passed as arguments to higher-order functions, which are functions that take another function as an argument.
higher-order
Higher-order functions take another function as an argument, and lambda functions are often used in such scenarios.
called
This demonstrates an Immediately Invoked Function Expression (IIFE) where the lambda function is defined and called right away with the arguments `6` and `8`.