DSA in Python – Implement Queue using Arrays | Queue Data Structure Explained – Part 83 [Hindi]

🚀 Welcome to Part 83 of Code & Debug’s DSA in Python Course!

In this lecture, we implement the Queue Data Structure using Arrays from scratch. Queues follow the FIFO (First-In-First-Out) principle and are widely used in OS scheduling, caching, and level order traversals.

📚 What you’ll learn in this video:
✅ What is a Queue and real-life examples of its usage
✅ Step-by-step implementation of a queue using arrays
✅ Operations: enqueue(), dequeue(), front(), rear(), isEmpty(), isFull()
✅ Circular queue concept and how to prevent overflow
✅ Time and space complexity analysis of all operations

💡 Why is this important?
Understanding queue fundamentals and implementation logic is essential for solving problems in trees, graphs, OS simulation, and multi-threading scenarios. Manual implementation helps strengthen your core DSA skills.

👉 Link to solve the question:
https://www.geeksforgeeks.org/problems/implement-queue-using-array/1

👉 In-Depth Article with Code & Explanations:
https://codeanddebug.in/blog/implement-queue-using-array/

👉 📄 Access the full YouTube DSA Playlist Sheet (All Questions in Order):
🔗 https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing

👉 Enroll in this FREE DSA Python course here:
🔗 https://codeanddebug.in/course/master-dsa-with-leetcode

👉 Enroll for Self-Paced Advanced DSA course here:
🔗 https://codeanddebug.in/course/zero-to-hero-python-dsa

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