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🚀 Data Structures in Python - Complete Course

Welcome to the official code repository for the Data Structures in Python series! This repository is a one-stop resource for students and developers to master core Computer Science concepts using Python with simple, "layman-style" explanations.

📺 Stay Connected

  • YouTube Channel: Study Trigger
  • Full Playlist: [[Data Structure in Python | Linked List Complete Course]](url)

🛠️ Course Roadmap

1. Linked List (Ongoing 📍)

Total Videos: 24 A deep dive into Singly, Doubly, and Circular Linked Lists—from memory basics to advanced logic.

Part Topic Code Link Video Link
01 Introduction to Linked Lists View Code Watch Video
02 Manual Node Connection & Display View Code Watch Video
03 Insert Node at Beginning View Code Watch Video
04 Display Only Even Elements View Code Watch Video
05 Count, Sum, and Average Logic View Code Watch Video
06 Display Alternate Elements View Code Watch Video
07 Search into Linked List View Code Watch Video
08 Insert Node at End View Code Watch Video
09 Insert Node at Specific Position View Code Watch Video
10 Delete First Node View Code Watch Video
11 Delete Last Node View Code Watch Video
12 Delete From Any Position View Code Watch Video
13 Reverse Linked List View Code Coming Soon
14-24 Advanced Topics & more... In Progress In Progress

2. Stacks & Queues (Upcoming 🔜)

  • Implementation using Arrays & Linked Lists.
  • Practical applications and Infix/Postfix logic.

3. Trees & Graphs (Upcoming 🔜)

  • Binary Search Trees (BST) and Traversals (Inorder, Preorder, Postorder).
  • Graph Algorithms: BFS and DFS.

📂 How to Use This Repository

  1. Navigate to the specific folder (e.g., /LinkedList).
  2. Each folder/file is numbered according to the Video Parts in the YouTube playlist.
  3. If you find this repository helpful, please Star ⭐ it to stay updated with new uploads!

👨‍🏫 About the Instructor

Hi, I'm Mahesh Verma, the founder of Study Trigger. My mission is to simplify complex programming concepts for students and help them build a rock-solid foundation for their careers.


Happy Coding! 💻