How can I use lambda functions in data science?

How can I use lambda functions in data science?

Lambda functions are anonymous functions defined with the keyword 'lambda'. They are useful for short, throwaway functions.

Can you give me an example of using a lambda function with pandas?

Sure! You can use a lambda function to apply a transformation to a DataFrame column, like this: df['new_col'] = df['old_col'].apply(lambda x: x * 2).

What are the advantages of using lambda functions?

Lambda functions are concise, can be defined in-line, and are great for simple operations without the need for a full function definition.

Are there any limitations to using lambda functions?

Yes, lambda functions can only contain a single expression and are less readable for complex operations compared to regular functions.