How are lists used in data science with Python?

How are lists used in data science with Python?

Lists in Python are versatile data structures that can store multiple items. In data science, they are often used to hold datasets, features, or results from computations.

Can you give me an example of how to create a list?

Sure! You can create a list in Python using square brackets. For example: my_list = [1, 2, 3, 4, 5].

How do I access elements in a list?

You can access elements in a list by their index. For example, my_list[0] will give you the first element, which is 1.

What about modifying a list?

You can modify a list by assigning a new value to a specific index. For example, my_list[0] = 10 changes the first element to 10.

Are there any built-in functions for lists?

Yes, Python provides several built-in functions for lists, such as append(), remove(), and sort().