Tutorial Playlist

Python Tutorial for Beginners


The Best Tips for Learning Python

Lesson - 1

How to Install Python on Windows?

Lesson - 2

Top 10 Python IDEs in 2022: Choosing The Best One

Lesson - 3

A Beginner’s Guide To Python Variables

Lesson - 4

Understanding Python If-Else Statement

Lesson - 5

Python Numbers: Integers, Floats, Complex Numbers

Lesson - 6

Python Strings | Simplilearn Python Tutorial

Lesson - 7

The Basics of Python Loops

Lesson - 8

Python For Loops Explained With Examples

Lesson - 9

Introduction to Python While Loop

Lesson - 10

Everything You Need to Know About Python Arrays

Lesson - 11

All You Need To Know About Python List

Lesson - 12

How to Easily Implement Python Sets and Dictionaries

Lesson - 13

A Handy Guide to Python Tuples

Lesson - 14

Everything You Need to Know About Python Slicing

Lesson - 15

Python Regular Expression (RegEX)

Lesson - 16

Learn A to Z About Python Functions

Lesson - 17

Objects and Classes in Python: Create, Modify and Delete

Lesson - 18

Python OOPs Concept: Here's What You Need to Know

Lesson - 19

An Introduction to Python Threading

Lesson - 20

Getting Started With Jupyter Network

Lesson - 21

PyCharm Tutorial: Getting Started with PyCharm

Lesson - 22

The Best NumPy Tutorial for Beginners

Lesson - 23

The Best Python Pandas Tutorial

Lesson - 24

An Introduction to Matplotlib for Beginners

Lesson - 25

The Best Guide to Time Series Analysis In Python

Lesson - 26

An Introduction to Scikit-Learn: Machine Learning in Python

Lesson - 27

A Beginner's Guide To Web Scraping With Python

Lesson - 28

Python Django Tutorial: The Best Guide on Django Framework

Lesson - 29

Top 10 Reason Why You Should Learn Python

Lesson - 30

10 Cool Python Project Ideas For Beginners in 2021

Lesson - 31

The Best Ideas for Python Automation Projects

Lesson - 32

12 Tips On How To Become a Python Developer

Lesson - 33

The Best Guide for RPA Using Python

Lesson - 34

Comprehending Web Development With PHP vs. Python

Lesson - 35

The Best Tips for Learning Python - REMOVE

Lesson - 36

The Best Way to Learn About Box and Whisker Plot

Lesson - 37

An Interesting Guide to Visualizing Data Using Python Seaborn

Lesson - 38

The Complete Guide to Data Visualization in Python

Lesson - 39

Everything You Need to Know About Game Designing With Pygame in Python

Lesson - 40

The Complete Simplified Guide to Python Bokeh

Lesson - 41

Top 150 Python Interview Questions and Answers for 2022

Lesson - 42

The Supreme Guide to Understand the Workings of CPython

Lesson - 43
All You Need To Know About Python List

Python is an object-oriented programming language that provides rapid application development which was released in 1991 by Guido van Rossum. It has a huge demand in Rapid Application Development due to its dynamic binding and typing options. Some features of Python, which make it the most popular programming language right now is that it is free and open-source, has a vast standard library, and it can be integrated with other programming languages easily.

What Is Python?

Python is a general-purpose programming language that is often applied to scripting roles. Scripting languages tend to be limiting, but Python, on the other hand, is an uncomplicated and robust programming language that delivers both the power and complexity of traditional style. Python is designed to be very efficient in writing and especially to read.


Introduction To Python List

A Python list is a collection of zero or more elements. An element of the list can be any data. It can be string, numerical, or a combination of both types. A list in python is like an array in C or Java. Lists are mutable- that is, you can change their content-and they have many useful specialized methods.

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How To Create A Python List?

A Python list is created by adding elements in the square brackets [ ]. 

For example:

num = [1, 2, 3, 4]

letter = [‘a’, ‘b’, ‘c’, ‘d’]


Fig: Create the Python List

These lists can contain elements of different types.

Access Elements From List

Every Python list starts with the index ‘0’. We can access the elements by specifying the index number. For example: To access elements in the list, we provide the index (as integer) inside the square brackets ( [ ] ) as given below. 


Fig: Access elements from starting of the list

To access the elements from the end we use negative indexing. -1 means the last element. -2 the second last element and so on. For instance, if you want to access the 4th element from the ending of the list named mix, you write mix[-4]


Fig: Access the elements from ending of the list

You can also access the elements from a specific range. To get elements from index 1 to index 3 from the list mix, you should write mix[1:4].


Fig: Access the elements from a specific range

Remember that the first item is position 0. 

Note: The search will start at index 1 (included) and end at index 4 (not included)

If the starting value is left out, the range will begin from the starting element. For instance:

Fig: Get elements from Index 0

Change And Add Elements To The List

In a Python list, the element value can be changed by specifying the index number and replacing it with a new value. For instance:


Fig: To change the element in Python List

For adding new elements to a list in Python,  you can use the ‘append ()’ method or ‘insert ()’ method. 

1. Using the Append () Method

The append() method adds the element to the end of the list. For example:


  Fig: Adding element by using append () method

2. Using the Insert () Method

If you want to insert an element at a specific index, you should use the insert () method. 

For instance:


Fig: Add element using insert () method

Delete Elements From A List

There are two ways of removing elements from a list:

1. Delete specified elements we use remove () method.

Suppose you want to delete the item “get” from the list “mix”. We write it as mix.remove(“get”).


Fig: To delete element by using remove ()

2. To remove the element from specific index we use del () method

Syntax: del list_name [index]


Fig: Deleting element using the del () method

Check If The Item Exists In List

You can check if the particular element exists in the list or not. The following example can be used to perform the same:


Fig: Check if the item exists in the list

Check The Length of The List

You can check the number of items in the list by using ‘len ()’ method


Fig: To check the number of items in the list

To Join The Two List

There are several ways to join two lists, and the easiest method is to use the ‘ + ‘ operator. This can be done in the following way:


Fig: Join two Python lists

Built-in Functions In Python List

Python consists of some in-built functions that we can use.



clear ()

Removes all the elements from the list

copy ()

Returns a copy of the list

append ()

Adds an element to the end of the list

insert ()

Add an element to the specified position

pop ()

Removes the element from the specified position

remove ()

Removes the item with the specified value

reverse ()

Reverses the order of the list

count ()

Returns the number of elements with the specified value

index ()

Returns the index of an element in the list

Here are some examples of the functions that are mentioned in the table:

1. Clear ()

The clear() function removes all the elements from the list.

Syntax: mix.clear ()


Fig: Clear a Python list

2. Copy ()

The copy() function returns a copy of all the items in a list.

Syntax: new_list = mix.copy()


Fig: Copy one Python list to another list

3. reverse ()

The reverse method prints the items in a list in the reverse order.

Syntax:  list.reverse ()

Fig: Reverse a Python List

3. index ()

The index method returns the index of the specified item in a list.

Syntax: list.index(element)

Fig: Find the index in a list

Learn data operations in Python, strings, conditional statements, error handling, and the commonly used Python web framework Django with the Python Training course.


In this article, we have discussed the Python list and all the essential operations that we can perform. The list is an important data structure that plays a crucial role in learning the basics of python.

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