How to Use Lambda Functions in Python

Lambda functions in Python are a powerful way to create small, anonymous functions on the fly. These functions are typically used for short, simple operations where the overhead of a full function definition would be unnecessary.

While traditional functions are defined using the def keyword, Lambda functions are defined using the lambda keyword and are directly integrated into lines of code. In particular, they are often used as arguments for built-in functions. They enable developers to write clean and readable code by eliminating the need for temporary function definitions.

In this article, we'll cover what Lambda functions do and their syntax. We'll also provide some examples and best practices for using them, and discuss their pros and cons.

In this tutorial, we'll see how to use Lambda functions with the library Pandas: a fast, powerful, flexible, and easy-to-use open-source data analysis and manipulation library. If you don't have it installed, run the following:

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