tuple

The built-in tuple data type provides an immutable sequence of values that can store any data type. Tuples are useful for storing heterogeneous data, such as records in a database or fixed collections of items:

Python 
>>> coordinates = (10.5, 20.3)
>>> person = ("Alice", 30, "Engineer")

Because tuples are immutable, they’re also hashable as long as all their items are. That lets you use a tuple as a dictionary key or store one in a set, which you can’t do with a list:

Python 
>>> locations = {(10.5, 20.3): "warehouse", (4.0, 8.1): "depot"}
>>> locations[(10.5, 20.3)]
'warehouse'

tuple Literals

In Python, you can use different literals to create tuples:

Literal Type Syntax Example Description
Empty tuple () An empty tuple, denoted simply by an empty pair of parentheses
Single-item tuple (item,) or item, A tuple with a single element requires a trailing comma to differentiate from regular parentheses
Multiple-item tuple (1, 2, 3) or 1, 2, 3 A standard tuple with multiple elements separated by commas

tuple Constructor

Python Syntax 
tuple(iterable=(), /)

Arguments

Argument Description
iterable Optional and positional-only. An iterable object whose elements will be included in the tuple. It defaults to an empty tuple, so tuple() returns ().

Return Value

  • Returns a Python tuple object

tuple Examples

Creating an empty tuple using a pair of parentheses:

Python 
>>> empty_tuple = ()
>>> empty_tuple
()

Creating tuples using literals:

Python 
>>> numbers = (1, 2, 3)
>>> numbers
(1, 2, 3)

>>> record = "Jane Doe", 25, "Canada"
>>> record
('Jane Doe', 25, 'Canada')

Creating a tuple from a list using the tuple() constructor:

Python 
>>> tuple([1, 2, 3])
(1, 2, 3)

Accessing values in a tuple through indexing:

Python 
>>> numbers[0]
1
>>> record[2]
'Canada'

tuple Methods

Method Description
.count() Returns the number of times a specified value appears in the tuple.
.index() Returns the index of the first occurrence of a specified value.

tuple Common Use Cases

The most common use cases for tuple include:

  • Storing fixed collections of related data
  • Returning multiple values from a function
  • Grouping data that shouldn’t change over time
  • Serving as dictionary keys or set members

tuple Real-World Example

Imagine you’re working on a program that processes RGB color values. Tuples are perfect for this task because they hold a fixed number of elements:

Python 
>>> rgb_red = (255, 0, 0)
>>> rgb_green = (0, 255, 0)
>>> rgb_blue = (0, 0, 255)

In this example, each tuple holds an RGB color. Tuples’ immutability ensures that these colors remain constant and unchanged throughout your program.

Python's tuple Data Type: A Deep Dive With Examples

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Python's tuple Data Type: A Deep Dive With Examples

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.

intermediate python

For additional information on related topics, take a look at the following resources:

By Leodanis Pozo Ramos • Updated Aug. 26, 2026 • Reviewed by Brenda Weleschuk and Dan Bader
Python’s Built-in Data Types Share Feedback