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In this video, you’ll learn how to work with Python lists—highly flexible data structures that allow you to store sequences of items. We’ll cover how to create lists, access individual elements, modify lists, use various methods like append(), extend(), pop(), remove(), and slice lists to get sublists. You’ll also see how to work with mixed data types, check for element existence, find the minimum and maximum values, and even explore the concept of nested lists.
To start learning without installing Python locally, use Google Colab.
Introduction to Google Colab: • Google Colab Basics
Create a new Google Colab Notebook: https://colab.research.google.com/#cr...
GitHub Code: https://github.com/dankornas/ai-roadm...
TABLE OF CONTENTS
0:00 Introduction to Python Lists
0:17 Creating a List in Python
1:29 Mixing Different Data Types in a List
2:11 Creating a List Using the List Constructor
2:27 Accessing List Elements Using Indexes
2:45 Accessing the First and Last Element
3:00 Modifying List Elements (Mutability)
3:23 Changing Elements in the List
3:57 Adding Elements to the List Using append()
4:20 Adding Multiple Elements with extend()
5:00 Removing Elements Using remove() and pop()
5:35 Finding the Length of a List with len()
6:10 Slicing Lists to Create Sub-lists
7:10 Working with Nested Lists
8:10 Checking Element Existence in a List
9:00 Finding the Minimum and Maximum Values
10:00 AI Learning Hub Membership
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