DS - ML Tutorial 25. Working within a DataFrame Basic Functionalities Part 3

DS - ML Tutorial 25. Working within a DataFrame Basic Functionalities Part 3
Here are some of the key features and operations that can be performed on a DataFrame in Pandas:

Creating a DataFrame: You can create a DataFrame by passing a dictionary of arrays, a list of dictionaries, a NumPy ndarray, or a structured array to the DataFrame constructor.

Accessing data: You can access elements of a DataFrame by row and column index, using either integer positions or labels. You can also slice a DataFrame to extract a subset of data.