7. lists in python – learn python in most easy way – python course for absolute begineers

Photo of author

By Waqas Ali

Lists and Its Types in Python

Python is a versatile and popular programming language that offers a wide range of data structures to store and manipulate data efficiently. One such fundamental data structure is a list, which is used to hold a collection of items in a particular order. Lists are mutable, meaning their elements can be modified after creation. In this article, we will explore lists in Python, the various types of lists, and how to work with them effectively.

1. Introduction to Lists in Python

Lists in Python

In Python, a list is defined by enclosing a comma-separated sequence of elements within square brackets []. Lists can contain elements of different data types, making them incredibly flexible. For example:

fruits = ['apple', 'banana', 'orange', 'grape']
numbers = [1, 2, 3, 4, 5]
mixed_list = [10, 'hello', True, 3.14]

2. Creating and Initializing Lists

You can create a list using two methods: using square brackets or the list() constructor.

Using Square Brackets

languages = ['Python', 'Java', 'C++', 'JavaScript']

Using the list() Constructor

countries = list(('USA', 'UK', 'Canada', 'Australia'))

3. Accessing List Elements

To access individual elements within a list, you can use indexing and slicing.


Indexing allows you to access specific elements by their position in the list. Python uses zero-based indexing, where the first element has an index of 0.

colors = ['red', 'green', 'blue', 'yellow']
print(colors[0])  # Output: 'red'

Also read : strings in Python – Python course for absolute begineers


Slicing lets you access a range of elements from the list. It uses the format list[start:end], where start is the starting index, and end is the index of the element just after the slice.

numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
print(numbers[2:6])  # Output: [3, 4, 5, 6]

4. Modifying Lists

Lists being mutable, you can modify their elements easily.

Changing Elements

fruits = ['apple', 'banana', 'orange']
fruits[1] = 'grape'
print(fruits)  # Output: ['apple', 'grape', 'orange']

Adding Elements

You can add elements to lists in python using the append() and extend() methods.

animals = ['dog', 'cat']
print(animals)  # Output: ['dog', 'cat', 'elephant']

more_animals = ['tiger', 'lion']
print(animals)  # Output: ['dog', 'cat', 'elephant', 'tiger', 'lion']

Removing Elements

To remove elements, you can use the remove() and pop() methods.

numbers = [1, 2, 3, 4, 5]
print(numbers)  # Output: [1, 2, 4, 5]

popped_number = numbers.pop(1)
print(popped_number)  # Output: 2

Also read : Operators in python – python course for absolute begineers

5. List Methods

Lists method in python

Python provides several built-in methods to manipulate lists efficiently.


The append() method adds an element to the end of the list.


The extend() method adds all the elements of an iterable (e.g., another list) to the end of the list.


The insert() method inserts an element at a specific index.


The remove() method removes the first occurrence of a specified element.


The pop() method removes an element from a specific index and returns its value.


The sort() method sorts the list in ascending order.


The reverse() method reverses the order of elements in the list.

6. List Comprehensions

Lists in python comprehensions provide a concise way to create lists based on existing lists or other iterables.

numbers = [1, 2, 3, 4, 5]
squared_numbers = [num ** 2 for num in numbers]
print(squared_numbers)  # Output: [1, 4, 9, 16, 25]

7. Nested Lists

Python allows lists to be nested within each other, enabling the creation of complex data structures.

matrix = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
print(matrix[1][2])  # Output: 6

8. Common List Operations

Lists types

Apart from the methods, there are some common operations you can perform on lists in python.

Checking Membership

colors = ['red', 'green', 'blue']
print('green' in colors)  # Output: True

Concatenating Lists

list1 = [1, 2, 3]
list2 = [4, 5, 6]
concatenated_list = list1 + list2
print(concatenated_list)  # Output: [1, 2, 3, 4, 5, 6]

Replicating Lists

numbers = [1, 2, 3]
replicated_list = numbers * 3
print(replicated_list)  # Output: [1, 2, 3, 1, 2, 3, 1, 2, 3]

Click Here : click here to use replit code editor for programming

9. Built-in Functions for Lists

Python offers some built

-in functions specifically for lists.


The len() function returns the number of elements in a list.


The min() function returns the smallest element in a list.


The max() function returns the largest element in a list.


The sum() function returns the sum of all elements in a list (works only for numeric lists).

10. Different Types of Lists in Python

lists in python can hold elements of various data types, leading to the following types of lists.

Numeric Lists

Lists containing only numeric elements.

Character Lists

Lists holding characters or strings.

Mixed Lists

Lists with a combination of different data types.

11. Conclusion

In this article, we explored the concept of lists in Python. Lists are powerful data structures that allow for the storage and manipulation of multiple elements. We discussed how to create, access, and modify lists, as well as common list operations and built-in functions. Additionally, we touched upon list comprehensions and nested lists, showcasing the flexibility and versatility of Python’s list implementation.

So, the next time you work with collections of data in Python, consider using lists to harness their capabilities effectively.


  1. Q: Can I have duplicate elements in a list?
  • A: Yes, lists in Python can contain duplicate elements.
  1. Q: How can I check if a specific element exists in a list?
  • A: You can use the in keyword to check for the existence of an element in a list.
  1. Q: Are lists the only type of data structure in Python?
  • A: No, Python offers other data structures like tuples, sets, and dictionaries.
  1. Q: Can I change the order of elements in a list?
  • A: Yes, you can change the order of elements using the sort() and reverse() methods.
  1. Q: What is the difference between lists and arrays in Python?
  • A: Lists are more flexible and can hold elements of different data types, while arrays typically hold elements of the same data type. Arrays are provided by the array module, while lists are a built-in data type.

Leave a comment