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    Python lists are versatile data structures that allow you to store multiple items in a single variable. They are one of the four built-in data types in Python designed to store collections of data, with the others being Tuple, Set, and Dictionary. Each of these data types has unique properties and usage, but lists are particularly notable for their ordered, changeable, and duplicate-allowing nature.

    Creating and Accessing Python Lists

    Lists are created using square brackets, with items separated by commas. For example:

    mylist = ["apple", "banana", "cherry"]

    Items in a list are indexed, starting with zero for the first item. This means you can access list items using their index:

    print(mylist[0]) # Outputs: apple

    Lists can also contain items of different data types, including other lists, making them highly flexible.

    Modifying Lists

    Python lists are mutable, meaning you can change their content after creation. You can add items using methods like append(), insert(), or extend(). For instance:

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    WEBLearn how to create, access, modify, and use lists in Python, a flexible and versatile built-in data type. This tutorial covers the key features, operations, and use cases of lists with code examples.

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    WEBJun 3, 2021 — How to Operate on Lists in Python. You can apply common built-in functions such as len(), min() , and max() on lists to get the length of the list, the minimum element, and the maximum element, respectively.

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