Python Concepts for Data Science: Tuples in Python

A tuple is a built-in datatype in python and it is used to store multiple items in a single variable. It is one of the data types in python which is used to store collections of data.

A tuple is a collection that is ordered and unchangeable means we can not change items after declaring them in the tuple. Tuples are written with round brackets.

Example:-fruit= ('apple' , 'banana' , 'mango') this is a tuple.

Tuple items are ordered, unchangeable, and also allow duplicate values.

Tuple items are indexed like the first item has index [0], the second item has index [1], etc.

In tuple, we can not change the order of items once the tuple is created. To find the length of a tuple we can use the length function with syntax: len(tuple name).

Example1:-Printing Length of Tuples

fruit= ('apple', 'banana','mango')
print(len(fruit))

This gives output 3 because there are three items inside the tuple.

Example2:-Indexing in Tuples

fruit[0]
fruit[-1]

Output:

Example3:- Slicing in Tuples

fruit[1::2]
fruit[1:]
fruit[:3]

Output:

Tuples and List

Tuples are identical to lists in all respects, except for the following properties:

• Tuples are defined by enclosing the elements in parentheses (()) instead of square brackets ([]).

• Tuples are immutable.

Why use a tuple instead of a list?

• Program execution is faster when manipulating a tuple than it is for the equivalent list. (This is probably not going to be noticeable when the list or tuple is small.)

• Sometimes we don’t want data to be modified. If the values in the collection are meant to remain constant for the life of the program, using a tuple instead of a list guards against accidental modification.

Example of Difference between List and Tuple

#Python List Example
listWeekDays = ['mon', 'tue', 'wed', 2]
type(listWeekDays)

#Python Tuple Example
tupWeekDays = ('mon', 'tue', 'wed', 2)
type(tupWeekDays)

Output:

Hence, we can conclude that tuples are used to store multiple items in a single variable.

Thank you for your time! Happy reading.

Link to the GitHub repository here.