Python tuple() function

The tuple() function in Python returns a tuple object. Basically, this function is used to create tuples in Python. For example:

x = [12, 32, 543]
y = tuple(x)
print(type(y))

a = tuple([12, 43, 453])
print(type(a))

b = tuple(["codes", "cracker", "dot", "com"])
print(type(b))

The output is:

<class 'tuple'>
<class 'tuple'>
<class 'tuple'>

Note: To learn in detail about tuples, refer to their separate post.

Python tuple() function syntax

The syntax of the tuple() function in Python is:

tuple(iterable)

The iterable parameter is optional. Means that if no iterable is specified, tuple() returns a tuple object, of course, but an empty tuple. An iterable may be a list, dictionary, etc.

Note: When a dictionary is used as an iterable, then its key will be used.

Python tuple() function example

Here is an example of the tuple() function in Python:

x = [1, 2, 3, 5]
a = tuple(x)
print(a)

x = "Python Programming"
a = tuple(x)
print(a)

x = {"Day": "Sun", "Month": "Dec"}
a = tuple(x)
print(a)

The output is:

(1, 2, 3, 5)
('P', 'y', 't', 'h', 'o', 'n', ' ', 'P', 'r', 'o', 'g', 'r', 'a', 'm', 'm', 'i', 'n', 'g')
('Day', 'Month')

Advantages of the tuple() function in Python

• Tuples are immutable, which means that once created, their values cannot be altered. This is useful in situations where data integrity is essential.
• Tuples are more memory efficient than lists because they require less overhead and can be stored in a more compact manner.
• As their elements are stored in contiguous memory locations, tuples can be iterated over faster than lists.

Disadvantages of the tuple() function in Python

• Comparatively speaking, tuples are less functional than lists. They lack techniques for introducing, eliminating, or changing elements.
• Tuples cannot have their values changed and can only be accessed through indexing. In situations where dynamic data manipulation is necessary, this can be problematic.
• In situations where the data structure must be changed frequently or dynamically, tuples are inappropriate. They work best in situations where the data is set in stone or read-only.

Python Online Test