Data Analysis
3 Amazing Reasons — Why To Use Lambda Function In Python
Lambda functions in Python are simple, concise, and flexible. Learn why to use them in your data analysis project!
Python is a commonly used language in data analysis.
It has made entire data processing and its transformation easy with a wide range of built-in functions and methods. Moreover, you can easily create user-defined functions.
Functions are small blocks of reusable code, which you define once and use as and when you need them.
However, sometimes you need a function only once and in such a situation you don’t always need to go through the whole hassle of defining a function.
Then what else you can do in such cases?
Use Lambda Functions!!! ✅
Lambda functions are anonymous functions i.e. functions without a name. In contrast to other user-defined functions, you can literally define and use them in the same line of code.
But, this is not the only reason to use it in your data analysis project.
In this story, I’m presenting 3 key reasons — why you should use Lambda functions in Python for data analysis.
