Mastering Python Lists: A Comprehensive Guide for Beginners | Malayalam | Python lists explained

Welcome to the comprehensive guide on Python lists! In this video, we will dive deep into the world of Python lists. Whether you're a beginner or an experienced programmer, this video is packed with valuable information to enhance your understanding and proficiency with Python lists.

Time stamp
00:00 - Creating python lists
04:03 - Nested lists
12:06 - Indexing in python lists
17:24 - Slicing in python lists
25:40 - Membership operators in python lists
29:46 - Changing elements of a python list
32:05 - Adding elements to a python lists (append,extend and insert methods)
42:23 - List concatenation
46:24 - Removing elements from a list (remove,pop and del)
55:29 - Sorting a python list (sort & sorted )

Throughout the video, I demonstrate each concept using Jupyter Notebook, providing you with a hands-on experience as we explain the code and showcase practical examples. Whether you're looking to manipulate data, perform complex operations, or simply optimize your Python scripts, understanding lists is crucial. In the beginning of the video, we dive into the basics of Python lists. You'll learn how to create a list, assign values to it, and understand the syntax involved. We'll also discuss the concept of mutable data structures and how lists can be modified.
Nested lists take the concept of lists to the next level. In this segment, we explore the idea of having lists within lists. You'll learn how to create nested lists and access their elements using indexing.

Indexing allows us to access individual elements in a list. In this section, we cover the basics of indexing in Python lists. You'll learn how to use positive and negative indices to retrieve specific elements, access multiple elements using slicing, and understand the concept of zero-based indexing.

Slicing provides a powerful way to extract sublists from a larger list. Here, we delve into the intricacies of slicing in Python lists. You'll learn how to use slicing notation to specify start and stop values, and extract various subsets of a list. I'll demonstrate different slicing techniques to help you master this essential list manipulation skill.

Membership operators allow us to check if an element is present in a list. In this segment, we explore the 'in' and 'not in' operators and how they can be used to perform membership tests on Python lists. You'll gain a solid understanding of how to effectively use membership operators to check for the existence of elements in a list.

Lists in Python are mutable, which means we can modify their elements. In this section, we cover various methods to change elements in a Python list. We'll discuss how to assign new values to specific indices. Adding elements to a list is a common operation in Python. Here, we explore three essential methods for adding elements to a Python list. We'll cover the 'append' method to add elements at the end, the 'extend' method to append multiple elements, and the 'insert' method to insert elements at specified indices.

List concatenation allows us to combine two or more lists into a single list. In this segment, we demonstrate how to use the '+' operator to concatenate lists. You'll learn how to create new lists by combining existing lists

At times, we need to remove elements from a list. This section explores three common methods for removing elements from a Python list. We cover the 'remove' method to delete a specific value, the 'pop' method to remove an element at a given index and return it, and the 'del' statement to delete one or more elements from a list. Then finally we will learn how to sort a list using sort method and sorted function...