Follow step-by-step with Linked list in Python | Python Tutorial | Data Structures in Python | Great Learning instructor Great Learning. The total lesson runtime is 24:15 minutes with detailed practical demonstrations. Watch this video tutorial for free without any subscription or sign-up required.
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Course Description & Lesson Notes
Official Video Description:
Ready to excel in coding interviews and real-world software development? Explore the full Academy Pro Data Structures Course:
http://bit.ly/DataStructuresandAlgorithmswithC
Course Introduction / Overview
Unlock the fundamentals of Data Structures and Algorithms with our Academy Pro course! Dive deep into core programming concepts using expert-led tutorials, practical examples, and hands-on C/C++ implementations. Throughout the course, you’ll apply your knowledge to real-world projects, making you industry-ready and confident to tackle technical interviews. Perfect for both beginners and professionals, this course will build your problem-solving skills from the ground up while reinforcing advanced concepts.
How Data Structures & Algorithms Work / Importance
Every modern software system relies on efficient data management and problem-solving. Data Structures—like Linked Lists, Stacks, Queues, and Trees—are the foundation for organizing, accessing, and modifying data. Algorithms unlock new levels of efficiency by optimizing search, sort, and manipulation operations. Mastering these topics means you’ll write better, faster, and more maintainable code, and you’ll excel in coding interviews and on-the-job tasks from day one!
What You’ll Learn
By the end of the Academy Pro Data Structures course, you’ll confidently:
Understand and implement key data structures in C/C++
Apply Linked Lists (Singly, Doubly, Circular) for efficient data handling
Perform operations like traversal, insertion, and deletion
Tackle real-world programming challenges with effective problem-solving techniques
Approach technical interviews with clarity and confidence
Build hands-on projects to solidify your skills
Topics Covered / Agenda
Follow along with our step-by-step walkthroughs:
[00:00:00] Introduction
[00:01:26] Agenda
[00:01:48] Linked List Basics
[00:06:32] Singly Linked List
[00:18:12] Traversal in SLL
[00:36:06] Insertion at Beginning in SLL
[00:43:36] Insertion at End in SLL
[00:53:50] Insertion at Specified Node in SLL
[01:05:29] Deletion at Beginning in SLL
[01:10:25] Deletion at End in SLL
[01:16:05] Deletion at Specified Node in SLL
[01:21:44] Doubly Linked List
[01:27:12] Traversal in DLL
[01:44:13] Insertion at Beginning in DLL
[01:50:47] Insertion at End in DLL
[01:56:00] Insertion at Specified Node in DLL
[02:04:27] Deletion at Beginning in DLL
[02:09:30] Deletion at End in DLL
[02:14:43] Deletion at Specified Node in DLL
[02:21:48] Circular Linked List
Further Learning / Programs
Level up your skills with these free and paid courses:
Free Data Structures in C (Free): https://bit.ly/FreeDataStructuresCourseWithCertificate
Linked List in Python (Free): https://bit.ly/PythonProjectsforDataAnalysis
Linked List Basics (Free): (no bitly available, left unchanged) https://www.mygreatlearning.com/academy/learn-for-free/courses/linkedlist?utm_source=youtube&utm_medium=description&utm_campaign=course_recommendation&utm_content=v=RqPi-rle_70
Python Data Structures (Free): https://bit.ly/FreeDataSciencewithPythonCourse
Linked List in C (Free): (no bitly available, left unchanged) https://www.mygreatlearning.com/academy/learn-for-free/courses/linked-list-in-c?utm_source=youtube&utm_medium=description&utm_campaign=course_recommendation&utm_content=v=RqPi-rle_70
Introduction to Python (Free): https://bit.ly/python-fundamentals-for-beginners
Professional Certificate Program in Data Science and Business Analytics (The University of Texas at Austin) (Paid): https://bit.ly/UT-PGP-DSBA
Explore More Software Development & DSA Programs (Paid/Free): https://bit.ly/SoftwareEngineeringandDevCourses
Why Watch This Video / Learn This
Linked Lists are the backbone of data structures and a must-know topic for coding interviews and real-world applications. This course breaks down complex operations step by step, making it simple and engaging. Apply what you learn, master technical rounds, and boost your confidence as a problem solver. Don’t just watch—practice, apply, and start building projects right away!
Perfect For / Target Audience
This course is ideal for:
✅ Students preparing for coding interviews
✅ Computer Science & IT professionals
✅ Developers revising DSA concepts
✅ Anyone learning Data Structures from scratch
Social Media / Follow For Updates
Stay connected and never miss an update:
Telegram: https://bit.ly/Gl-Telegram
Facebook: https://bit.ly/Gl-FB
LinkedIn: https://bit.ly/GL-linkedin
WhatsApp: https://bit.ly/GL-academy-whatsapp
Blog: https://glacad.me/GL_Blog
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🌐 Web & Search Guide Notes (DuckDuckGo, Yahoo & Bing):
Learn how to apply Linked List In Python | Python Tutorial | Data Structures In Python | Great Learning with this in-depth video tutorial guide. Throughout this course, you will learn essential skills for Linked List In Python | Python Tutorial | Data Structures In Python | Great Learning.
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🎓 Lesson Overview & Learning Outcomes:
Welcome to the step-by-step video guide for Linked list in Python | Python Tutorial | Data Structures in Python | Great Learning taught by Great Learning. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.
💡 Key Topics Covered in This Course:
- Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Linked list in Python | Python Tutorial | Data Structures in Python | Great Learning.
- Step-by-Step Practical Demonstration: Hands-on implementation guided by Great Learning with real-world examples.
- Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
- Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.
📋 Recommended Prerequisites & Study Notes:
No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.
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