Load CSVs in Pandas with Custom Index 📊

Loading a CSV into Pandas? You can stick with the default RangeIndex — or set a column (or columns) to be the index from the start.

But why split that across multiple steps when `read_csv` can handle it for you?

In this video, I’ll show you how to:
- Use `index_col` to set a column as the index
- Use `index_col` with an integer (if no header is present)
- Set a **multi-index** by passing a list of columns
- Combine `index_col` with `parse_dates` to create a time-series index

Whether you're working with plain data or timestamps, you'll learn how to load your data with the **right index** — right from the start.