Programming Essentials Python - Overview of Collections - Other list operations

This article serves as a comprehensive guide for beginners looking to master Python lists. The article covers key concepts, step-by-step instructions, practical tasks, and a summary to help readers enhance their understanding of Python lists.

Explanation for the video:
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Key Concepts Explanation

List Creation

A list in Python is created using square brackets and can hold elements of different data types.

my_list = [1, 'hello', 3.14, True]

Accessing Elements

Elements in a list can be accessed using their index. Indexing starts from 0.

print(my_list[0])  # Output: 1
print(my_list[1])  # Output: hello

Hands-On Tasks

Description of the hands-on tasks. Provide a list of tasks that the reader can perform to apply the concepts discussed in the article.

  1. Create a list of your favorite colors and print the third element.
  2. Modify the list to replace the second element with ‘blue’ and print the updated list.


In conclusion, Python lists are versatile data structures that allow you to store and manipulate collections of elements efficiently. By mastering the key concepts and practicing with hands-on tasks, you can enhance your Python programming skills. Keep practicing and engaging with the community for further learning opportunities.

Other list operations

Here are some of the other list operations we frequently use in Python.

  • count - number of times an element is present in a list.
  • sort - to sort the data within the list. Data in the list will be sorted in-place.

Watch the video tutorial here