Python for Data Analysis: Step-By-Step with Projects - Applying Functions

The video tutorial explains the use of the apply method in pandas for data frames. It covers how to apply both built-in and custom functions along rows or columns, emphasizing that while the apply method is flexible, it should be a last resort due to performance considerations. The tutorial provides examples of using built-in functions like mean and custom functions, including lambda functions, and highlights alternatives for simple operations. It also introduces other apply methods like applymap and groupby, encouraging exploration of these methods for different use cases.

What new insight or understanding did you gain from this video?