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  2. Python Tuples - W3Schools

    www.w3schools.com/python/python_tuples.asp

    Tuples are used to store multiple items in a single variable. Tuple is one of 4 built-in data types in Python used to store collections of data, the other 3 are List, Set, and Dictionary, all with different qualities and usage.

  3. Tuples in Python - GeeksforGeeks

    www.geeksforgeeks.org/tuples-in-python

    Python Tuple is a collection of objects separated by commas. In some ways, a tuple is similar to a Python list in terms of indexing, nested objects, and repetition but the main difference between both is Python tuple is immutable, unlike the Python list which is mutable.

  4. 5. Data Structures — Python 3.12.7 documentation

    docs.python.org/3/tutorial/datastructures.html

    They are two examples of sequence data types (see Sequence Types — list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple. A tuple consists of a number of values separated by commas, for instance: >>>.

  5. In Python, a tuple is a built-in data type that allows you to create immutable sequences of values. The values or items in a tuple can be of any type. This makes tuples pretty useful in those situations where you need to store heterogeneous data, like that in a database record, for example.

  6. Python Tuple: How to Create, Use, and Convert

    python.land/python-data-types/python-tuple

    Learn how to create a Python tuple, how to use tuples, how to convert them to lists and strings, and how tuples differ from lists and sets.

  7. Python Tuple (With Examples) - Programiz

    www.programiz.com/python-programming/tuple

    In Python, we use tuples to store multiple data similar to a list. In this article, we'll learn about Python Tuples with the help of examples.

  8. Python Tuples - GeeksforGeeks

    www.geeksforgeeks.org/python-tuples

    A Python tuple is an immutable collection of ordered elements, often used to store heterogeneous data types, and supports operations like indexing and slicing for data retrieval and iteration.