Python Data Structures: An Introduction to Lists and Tuples

The article explains that data structures are organized ways of storing data in memory so it can be accessed, sorted, and modified efficiently. It describes Python's four built-in data structures, which handle nearly all common data organization tasks. Lists are presented as ordered, mutable collections that allow duplicates and mixed data types, with examples of adding, modifying, and removing items. Tuples are introduced as ordered, immutable collections that cannot be changed after creation and support unpacking of values. The piece notes that Python uses zero-based indexing, meaning the first item sits at position 0.