EDA Python - 16-4_Numpy_functions

The video tutorial introduces key operations in NUMPY, including selecting array elements using boolean masks, transposing arrays, concatenating arrays both vertically and horizontally, and stacking arrays using V stack and H stack. It also covers using functions like min and mean to analyze arrays, and applying mathematical functions to array elements. These operations are essential for data manipulation and analysis in Python.

How does the min function operate when given axis parameters?

What is the result of applying the square root function to an array?