How to Use Python Lambda Functions | How do you write lambda expression with reduce in Python?

Veröffentlicht am: 13 April 2021
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What are lambda functions in Python?
In Python, an anonymous function is a function that is defined without a name. While normal functions are defined using the def keyword in Python, anonymous functions are defined using the lambda keyword.
Hence, anonymous functions are also called lambda functions.

How to use lambda Functions in Python?
A lambda function in python has the following syntax.

Syntax of Lambda Function in python
lambda arguments: expression
Lambda functions can have any number of arguments but only one expression. The expression is evaluated and returned. Lambda functions can be used wherever function objects are required.

Use of Lambda Function in python
We use lambda functions when we require a nameless function for a short period of time.

In Python, we generally use it as an argument to a higher-order function (a function that takes in other functions as arguments). Lambda functions are used along with built-in functions like filter(), map() etc.

Example use with filter()
The filter() function in Python takes in a function and a list as arguments.

The function is called with all the items in the list and a new list is returned which contains items for which the function evaluates to True.

Here is an example use of the filter() function to filter out only even numbers from a list.

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