Python Lists vs Tuples Explained | Indexing, Slicing & Mutable vs Immutable | Part 7

Published: 27 July 2026
on channel: Geeks Analytics

Python Lists vs Tuples Explained | Indexing, Slicing & Mutable vs Immutable | Part 7

🚀 Welcome to Part 7 of the Complete Python Course for Beginners!

In this lesson, you'll master Python Lists and Tuples, two of the most important data structures used in Python programming. You'll learn how to create lists, access data using indexing and slicing, update elements, use built-in list methods, work with nested lists, understand tuples, and compare Lists vs Tuples with practical coding examples.

Whether you're preparing for Data Analytics, Data Science, Machine Learning, Automation, Software Development, or Python interviews, this tutorial will help you build a strong foundation in Python.

📚 What You'll Learn

✅ What are Python Lists?
✅ Creating Lists in Python
✅ Positive & Negative Indexing
✅ List Slicing Explained
✅ Updating List Elements
✅ Important List Methods

append()
insert()
remove()
pop()
sort()
extend()

✅ Working with Nested Lists
✅ Accessing & Modifying Nested Lists
✅ What are Python Tuples?
✅ Tuple Indexing & Slicing
✅ Why Tuples are Immutable
✅ Lists vs Tuples Comparison
✅ Mutable vs Immutable Objects
✅ Performance & Memory Efficiency
✅ Creating Single Element Tuples
✅ Best Practices & Interview Tips

Timestamps

00:00 - Introduction
00:14 - What You Will Learn
00:59 - What is a Python List?
01:35 - Creating Lists
01:56 - List Indexing
02:14 - List Slicing
03:02 - Modifying List Elements
05:04 - Python List Methods
05:22 - append() Method
05:35 - insert() Method
05:44 - remove() Method
05:56 - sort() Method
06:23 - pop() Method
06:45 - extend() vs append()
09:10 - Nested Lists
10:03 - Accessing Nested Lists
11:24 - Modifying Nested Lists
12:15 - Introduction to Tuples
13:02 - Creating Tuples
13:16 - Tuple Indexing & Slicing
13:31 - Why Tuples are Immutable
14:00 - Lists vs Tuples
15:08 - Creating Lists & Tuples Using Functions
16:23 - Single Element Tuple Explained
17:53 - Complete Summary
18:41 - Next Class Preview

🎯 Who Should Watch?

✔️ Python Beginners
✔️ College Students
✔️ Data Analytics Aspirants
✔️ Data Science Learners
✔️ Machine Learning Beginners
✔️ Automation Engineers
✔️ Software Developers
✔️ Coding Interview Preparation

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