What is the difference between selecting rows and columns in a DataFrame?

Selecting rows involves using the row label (index) or a boolean condition. Selecting columns involves using the column label (name) or a boolean condition. You can combine these to select specific rows and columns together, like `df[df['column_name'] > 5, 'column_name_1', 'column_name_2']`.