19 - Lists: Negative Indexing, Random Selection, Index Error and Nested Lists | Python for Beginners

In this video, we will look deeper into working with Python lists, covering advanced topics like negative indexing, how to select items randomly, handling out-of-range index errors, and working with nested lists. Understanding these concepts will help you handle lists more efficiently and avoid common errors when manipulating data.

What you will learn:
Negative indexing: How to access elements from the end of a list using negative indices.
Randomly selecting list items: Using Python’s random module to pick random elements from a list with random.choice() for dynamic programs.
Out-of-range index errors: What happens when you try to access an index that doesn’t exist and how to handle these errors safely.
Nested lists: How to create and access multi-dimensional lists (lists within lists), and how to work with them.

By the end of this video, you will be equipped to use advanced list techniques in Python, from negative indexing to working with nested lists, and avoid common pitfalls like index errors.

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