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Table of contents
1.
Introduction
2.
Python Lists
3.
List Methods
3.1.
Python List append()
3.1.1.
Output
3.2.
Python List clear()
3.2.1.
Output
3.3.
Python List copy()
3.3.1.
Output
3.4.
Python List count()
3.4.1.
Output
3.5.
Python List extend()
3.5.1.
Output
3.6.
Python List index()
3.6.1.
Output
3.7.
Python List insert()
3.7.1.
Output
3.8.
Python List pop()
3.8.1.
Output
3.9.
Python List remove()
3.9.1.
Output
3.10.
Python List reverse()
3.10.1.
Output
3.11.
Python List sort()
3.11.1.
Output
4.
Frequently asked questions
5.
Conclusion
Last Updated: Mar 27, 2024
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Lists Methods

Author Saksham Gupta
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Introduction

Python is known for pushing programmers and developers to write code that is efficient, easy to understand, and almost as easy to read. The python list and Lists Methods are two of the language's most distinguishing features, which can be used to build significant functionality with just one line of code. Today in this blog, we will discuss them in detail.

Python Lists

Python lists are containers that can hold any type of value. The most important feature of Python Lists is that they are changeable, which means you can change the elements of a list while it is still in use. When you alter a list's member, Python does not create a new list.

A list is a Python data type that can be used to store a succession of values of any type. In Python, square brackets denote lists.

Here are some examples of python lists:

List of numbers

[12, 22, 13]

List of Characters                                           

['c', 'd', 's’]  

How to create lists in python?

We can simply create lists in python using square brackets. Below is an example of it.

newList = [1,2,3,4]
print(newList)


Output

[1,2,3,4]


How to access any element of a list in python?

We can simply access the element using its index. For example:

newList = [1,2,3,4]
print(newList[0])


Output

1


So now you have become familiar with lists. Let’s look at some of the Lists Methods

Also see, Python Operator Precedence

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List Methods

Python List append()

Adds a new element to the list's end.

Below is an example of the same.

# animals list
animals = ['cat', 'elephant', 'lion']

 
# Add 'pig' to the list
animals.append('pig')

 
print('Updated animals list: ', animals)

Output

[Cat, elephant, lion, pig]

Python List clear()

Below is an example of the same.

All elements in the list are removed.

# list
list = [{1, 2}, ('abdx’), {6,7}]

 
# Using Method
list.clear()

 
print('List:', list)

Output

List: [ ]

Python List copy()

This method returns a copy of the list.

Below is an example of the same.

# mixed list
liistXL = ['dog', 0, 6.7]

 
# copying a list
newList = listXL.copy()


 
print('Copied List:', newList)

Output

Copied List: [dog, 0, 6.7]

Python List count()

Below is an example of the same.

# list
chars = ['a', 'b', 'c', 'a', 'e']

 
# count elements
count = chars.count(a)

 
# print count
print('The count of ‘a’ is:', count)

Output

The count of ‘a’ is 5

Python List extend()

To the end of the current list, append the elements of a list (or any iterable).

Below is an example of the same.

# list
languages =  ['English', ‘Dutch’]

 
# another list 
languages1 = ['Spanish']

 
# appending
languages.extend(languages1)


 
print('Languages List:', languages)

Output

['English', ‘Dutch’,’Spanish’]

Python List index()

The index of the first element with the specified value is returned.

Below is an example of the same.

animals = ['horse',’racoon’, snake]

 
# get the index of 'snake'
index = animals.index('snake')

 
print(index)

Output

2

Python List insert()

Inserts a new element in the specified location.

Below is an example of the same.

# list
lists = [‘1’, ‘2’, ‘3’, ‘5’']

 
lists.insert(3, 4)

 
print('List:', lists)

Output

[1, 2, 3, 4, 5]

Python List pop()

Removes the element from the position specified.

Below is an example of the same.

# list
numbers = [2, 3, 5, 7]
numbers.pop(2)
print('Updated List:', prime_numbers)

Output

Updated List: [2, 3, 7]

Python List remove()

The first item with the specified value is removed.

Below is an example of the same.

# list
numbers = [2, 3, 5, 7, 9, 11]

 
numbers.remove(9)

 
Updated list
print('Updated List: ', prime_numbers)

Output

Updated List:  [2, 3, 5, 7, 11]

Python List reverse()

The list is reordered.

Below is an example of the same.

# list
numbers = [2, 3, 5, 7]

 
# reversing the order
numbers.reverse()

 
print('Reversed List:', numbers)

Output

Reversed List: [7, 5, 3, 2]

Python List sort()

sorts the list

Below is an example of the same.

numbers = [11, 3, 7, 5, 2]
prime_numbers.sort()
print(numbers)

Output

[2, 3, 5, 7, 11]

You can compile it with online python compiler.

Must Read Python List Operations

Frequently asked questions

  1. What is Python?
    Python is a general-purpose programming language with a high level of abstraction. Its design philosophy prioritizes code readability and makes extensive use of indentation. Its language constructs and object-oriented approach are aimed at assisting programmers in writing clear, logical code for both small and large projects.
     
  2. What are lists?
    A list is a Python data type that can be used to store a succession of values of any type. In Python, square brackets denote lists. The most important feature of Python Lists is that they are changeable, which means you can change the elements of a list while it is still in use.
     
  3. What is List comprehension?
    In Python, list comprehension is a simple and elegant approach to generating a new list from an existing one. A list comprehension consists of an expression followed by for statement inside square brackets.
     
  4. What are the common list operations?
    The most frequent operations with lists are joining lists, replicating lists, slicing lists, List Membership Tests, Delete List Elements, Accessing elements from the List, and Removing Elements from the List
     
  5. Are there any other Data Structures and Algorithms content in Coding Ninjas Studio?
    Yes, Coding Ninjas Studio allows you to practice coding as well as answer frequently asked interview questions. The more we practice, the more likely we are to acquire a job at our dream company.

Conclusion

In this article, we have extensively discussed Lists Methods. We hope that this blog has helped you enhance your knowledge of ‘Lists Methods’ and if you would like to learn more, check out our articles on Library where you can find everything about DatabasesSQL Probelms, Interview Experiences and other guided paths. Do upvote our blog to help other ninjas grow. Happy Coding!”

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