If we have a DataFrame called `products` with four columns: `'id'`, `'name'`, `'type'`, and `'price'`, how would we correctly extract the `'name'` and `'price'` columns?

Pandas is an extremely user-friendly library for data analysis. It's also designed to handle large datasets, using data structures like DataFrame and Series. This makes it an invaluable tool for Data Science. In this guide, you'll get acquainted with a range of statistical functions, including how to find correlations, modes, medians, and maximum and minimum values within a dataset. You'll also learn how to handle missing values and manipulate specific values, as well as how to remove them.

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Quiz: Extracting Columns