This project showcases basic Python data types and collections, including strings, integers, floats, booleans, lists, tuples, sets, dictionaries, and ranges. It provides examples for initializing and ...

Python comes with a collection of built-in data types that make common data-wrangling operations easy. Among them is the list , a simple but versatile collection type.

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The `info()` function gives you a concise summary of your DataFrame. This includes the data types of the columns, the number of not-empty values (e.g., NaN, None) within them, and the memory use. Such ...