Collections are everywhere in programming — from shopping carts and datasets to records, logs, and backend systems.
Mastering Python collections is a must-have skill for every Python developer.
In this video, SP Learning Labs (SPLL) explains Lists and Tuples in Python using simple language, real-world analogies, and hands-on coding examples.
This lesson is part of the Python Full Course 2026, designed to build strong fundamentals for beginners, students, and interview preparation.
📘 What You’ll Learn
✅ What Lists and Tuples are in Python
✅ Key differences: Lists vs Tuples (Mutable vs Immutable)
✅ Creating and accessing Lists & Tuples
✅ Important List methods: append(), extend(), insert(), remove(), pop(), sort()
✅ List comprehensions with real examples
✅ Nested lists and slicing
✅ Shallow vs Deep Copy explained clearly
✅ Iteration using enumerate()
✅ Tuple methods: count(), index()
✅ Tuple packing & unpacking
✅ Using Tuples as dictionary keys
✅ Common mistakes & best practices
✅ Interview-focused questions
🎯 Who Should Watch
✔ Python beginners
✔ Students & freshers
✔ Interview preparation candidates
✔ Data Science & Backend learners
✔ Anyone mastering Python collections
📌 Prerequisites
Basic Python knowledge (Numbers & Strings recommended)
📚 Course Flow
Previous Video: Strings in Python – Methods, Slicing & Formatting
Next Video: Dictionaries & Sets in Python
⏱️ Video Timestamps
00:00 – Introduction
02:18 – Lists vs Tuples in Python
03:20 – Lists in Python
19:48 – Rarely Mentioned Facts About Lists
20:13 – Common Errors in Lists
20:40 – Best Practices in Lists
22:05 – Rarely Mentioned Facts About Tuples
22:32 – Common Errors in Tuples
23:08 – Interview Questions
📌 Full Python Course Playlist
👉 Watch the complete Python Full Course 2026:
• Python Full Course 2026 for Beginners
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