Lambda functions in Python allow you to perform quick operations inline, making your code more concise and efficient, especially when working with higher-order functions like map()
, filter()
, and reduce()
.
Have you ever needed to perform a quick operation on a dataset without writing a full function? Lambda functions in Python allow you to do just that—offering a concise way to handle small tasks in-line with your code. Whether you're transforming data or filtering a list, lambda functions provide an elegant solution that keeps your code clean and efficient.
Lambda function
A Python lambda function is an anonymous, small function that can have any number of parameters but only one expression. The object returned by lambda is usually assigned to a variable or used as a part of other bigger functions. It is defined using the lambda
keyword, unlike traditional functions defined with def
. Lambda functions are ideal for simplifying short, inline tasks and are frequently used with higher-order functions like map()
, filter()
, and reduce()
to process data efficiently.
The structure of lambda can be seen below: