Python Tutorial

Introduction Python Features Python Applications Python System requirements Python Installation Python Examples Python Basics Python Indentation Python Variables Python Data Types Python IDE Python Keywords Python Operators Python Comments Python Pass Statement

Python Conditional Statements

Python if Statement Python elif Statement Python If-else statement Python Switch Case

Python Loops

Python for loop Python while loop Python Break Statement Python Continue Statement Python Goto Statement

Python Arrays

Python Array Python Matrix

Python Strings

Python Strings Python Regex

Python Built-in Data Structure

Python Lists Python Tuples Python Lists vs Tuples Python Dictionary Python Sets

Python Functions

Python Function Python min() function Python max() function Python User-define Functions Python Built-in Functions Python Recursion Anonymous/Lambda Function in Python apply() function in python Python lambda() Function

Python File Handling

Python File Handling Python Read CSV Python Write CSV Python Read Excel Python Write Excel Python Read Text File Python Write Text File Read JSON File in Python

Python Exception Handling

Python Exception Handling Python Errors and exceptions Python Assert

Python OOPs Concept

OOPs Concepts in Python Classes & Objects in Python Inheritance in Python Polymorphism in Python Python Encapsulation Python Constructor Python Super function Python Static Method Static Variables in Python Abstraction in Python

Python Iterators

Iterators in Python Yield Statement In Python Python Yield vs Return

Python Generators

Python Generator

Python Decorators

Python Decorator

Python Functions and Methods

Python Built-in Functions Python String Methods Python List Methods Python Dictionary Methods Python Tuple Methods Python Set Methods

Python Modules

Python Modules Python Datetime Module Python Math Module Python Import Module Python Time ModulePython Random Module Python Calendar Module CSV Module in Python Python Subprocess Module

Python MySQL

Python MySQL Python MySQL Client Update Operation Delete Operation Database Connection Creating new Database using Python MySQL Creating Tables Performing Transactions

Python MongoDB

Python MongoDB

Python SQLite

Python SQLite

Python Data Structure Implementation

Python Stack Python Queue Python Linked List Python Hash Table Python Graph

Python Advance Topics

Speech Recognition in Python Face Recognition in Python Python Linear regression Python Rest API Python Command Line Arguments Python JSON Python Subprocess Python Virtual Environment Type Casting in Python Python Collections Python Attributes Python Commands Python Data Visualization Python Debugger Python DefaultDict Python Enumerate

Python 2

What is Python 2

Python 3

Anaconda in Python 3 Anaconda python 3 installation for windows 10 List Comprehension in Python3

How to

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Tuple in Python


Tuples are the same as the list but as we know that lists are mutable means we can change the data from it. In the tuple we cannot change the data from the tuple once we assign it.

It is also called the collection of the ordered elements which are separated by commas and also they are immutable.


Tuple_A = ("Python", "Java", "c#", "C++")  
Tuple_B = (3, 2, 1, 5, 6)  
Tuple_C = "Python", "Java", "c#", "C++"

Creating the Tuples  

If we want to create the tuple then we need to enter all the data inside the parentheses ( ), data must be separated by commas. The parentheses are optional without parentheses we can create the tuple. But using parentheses is good practice. Tuple can store any type of data, that data can be integer, float, list, or string.


#Types of tuples

# Empty tuple
tuple_z = ()

# Tuple contaning integers
tuple_z = (12, 23, 35)

# tuple contains  different  datatypes
tuple_z = (11, "Hie", 32.4)

# nested tuple
tuple_z = ("Monitor", [18, 34, 46], (1, 2, 3))


(12, 23, 35)
(11, 'Hie', 32.4)
('Monitor', [18, 34, 46], (1, 2, 3))


  • Firstly, we created the empty tuple, which means the tuple which not contain any data in it, we printed the empty tuple.
  • In the second tuple, we have inserted some integers in that tuple. Then we printed that tuple.
  • Then in the third tuple, we have inserted mixed data means that the tuple contains the integer, string, and float values in one variable. Then we have printed the tuple.
  • Then we have the nested tuple which containsa list in that tuple also another tuple in it it is called a nested tuple. Then, we printed the data.

Creating the Tuples with one element

In python creating a tuple having only one element is quite tricky. if we write one element in the parentheses that is not enough. For that, we need to add a comma after the first element.

A = ("hi") 
B = ("hi",)

With the help of type(), we can check which type of data it is.


A = ("hi")

# tuple with one element
B = ("hi",)

# Without Parentheses
C = "hi",


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


  • In variable A we have assigned the new tuple in that we have inserted the “hi”.  But we have forgotten to add the comma in this now it will consider as a string. We have printed the type of the variable also.
  • In variable B we have added the comma in the tuple now it will consider it as a single tuple.
  • In variable C we have created a single tuple without parentheses.

Accessing tuple element

To access the elements from the tuple we will use the index. Like a list every element in the tuple is represented by the index number, the first element starts with the index 0.


With the help of the index operator, we can access the data/item from the tuple. The indexing of the tuple starts with 0. This means the first element is present at the 0th index. If any tuple has 8 elements then the indexing will be from 0 to 7. If you try to access the element which is outside of the index range then it will raise the IndexError.

The index should be an integer if you use another data type then it will raise the error which is TypeError.


# accessing elements using indexing
A = ("N", "E", "W", "S", "T", "A", "T", "E", "I", "N")





Here we have the tuple which is A. Then with the help of the index function, we printed the data which is present in the first location as well as the data present in the sixth location.

Negative Indexing:

Python also supports negative indexing. The -1 in the reverse-indexing tells that you are at last elements.


# accessing elements using negative-indexing
A = ("N", "E", "W", "S", "T", "A", "T", "E", "I", "N")




  • Here, we have the tuple which is A.
  • Then with the help of reverse indexing, we have access to the elements from the tuple.
  • We have accessed the last element with reverse indexing
  • Then we also accessed the 6th element using reverse indexing.


Python also supports slicing. In the slicing, we will select the particular sequence of items using the slice operator.

In the slicing operator, we need to specify the starting index and ending index of the object.

In other words, we can say that slicing is used to cut a particular tuple as per our needs.


# tuple 
A = ('A', 'Z', 'W', 'R', 'D', 'F', 'T', 'U', 'V')

# elements 3rd to 5th index

# elements from start-index to 3rd index

# elements 5th to end

# elements start to end of the tuple


('W', 'R', 'D')
('A', 'Z', 'W')
('F', 'T', 'U', 'V')
('A', 'Z', 'W', 'R', 'D', 'F', 'T', 'U', 'V')


  • Here, we have the tuple A. which contains the data in it.
  • In the first operation we have done with the slicing function we printed the data from the 3rd to 5th index.
  • Then, we have done another operation in which we printed data from the first index to the 3rd index.
  • Then, in the next operation, we printed data from the 5th index till the end.

Then, in the last operation, we printed data from starting index to the end index.

Methods in Tuple

There are two methods add items and remove items that are not available in the tuple.


In the count function, it will work to count the repetition of the particular element in the tuple.


# tuple 
Z = ('A', 'P', 'Z', 'R', 'A', 'T', 'F', 'U', 'A')

#counting repeated elements
print("Count -: ",Z.count('A'))


Count -:  3


In this, we have the tuple which is z. Then, with the help of the count function, we have printed how many times element ‘A’ is repeated in the tuple Z.


  • The index function is used to get the index of the particular elements.
  • If you want to know the index of a particular element then you can use the index function.


# tuple 
Z = ('A', 'P', 'Z', 'R', 'A', 'T', 'F', 'U', 'A')
#Getting index of element
print("Index -: ",Z.index('T'))


Index -:  5


Here we have the tuple Z. Then, we have to use the index function so that it will return the index of the element ‘T’.

Traversing Tuple:

In this, we can traverse the tuple with the help of for loop.


Z = ("Yashraj", "Rohit", "Sumit", "Yogesh", "Akash")

# Traversing through the tuple
for Z in Z:




Here we have the tuple Z which contains the random names. Then, we have to use the for loop with the help of this loop we will traverse the tuple. We have printed the data which is in the tuple.

Checking Element in Tuple

If we want to check that a specific item is present in the tuple then you can use in keyword for the checking.


Z = ("Yashraj", "Rohit", "Sumit", "Yogesh", "Akash")
print('Yashraj' in Z)   
print('Mohit' in Z)




  • Here, we have the tuple Z which contains the random names.
  • Then, we have to use the print function and in that print function, we have to use the in keyword.
  • Now, those names which are present in the tuple Z and also in the in a keyword then it will return the True.
  • Those who are not present will return false for that condition.

Advantages of Tuple

  • Tuples are similar to the list so we use both in similar situations.
  • We use the tuple when we have different data types. But when we use the list at that time we have similar data type elements.
  • Tuples are unchangeable (immutable) so traversing through tuples becomes easy and faster as compared to the list.
  • A tuple contains the unchangeable (immutable) elements so that we can use that element as the key for the dictionary, but in the list, it is not possible.
  • Tuples are unchangeable (immutable) so no any other can change the data in them. Tuples give the guarantee that data in it remains safe.

Disadvantages of Tuple

  • In a tuple, if we want to add an element we cannot add the new element to the existing tuple.
  • It is difficult to sort the tuple.
  • We cannot remove the items/elements from the tuple.
  • If we want to replace the element from the tuple then it is not possible in the tuple.