Data structures are collections of data values or objects that contain different data types. Data professionals use data structures to store, access, organize, and categorize their data with speed and efficiency. Knowing which data structures fit your specific task is a key part of data work, and will help streamline your analysis. Data structures also enable more efficient storage, access, and modifications. They allow you to organize and categorize your data, relate collections of data to each other, and perform operations accordingly.

Some of the most used sequences types are tuples, lists and dictionaries.

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Here is an article on data structures, starting with lists. This article is part of the official documentation for Python 3.11.3.