Most tutorials just use Java’s built-in PriorityQueue
Real engineers build the logic from scratch to understand what happens under the hood

In this video, we go beyond a normal DSA tutorial and step into real engineering thinking.

I build a complete Min Priority Queue using Min Heap in Java from scratch — no built-in classes, no shortcuts, and absolutely no copy paste.

Every helper method, every condition, and every swap is written manually and explained like it is expected in FAANG-level interviews and real production systems.

If you want to move from memorizing DSA to thinking like an engineer, this video is for you.

TIMESTAMPS (Min Heap Mastery)
0:00 - Building a Min Priority Queue from Scratch (No Built-ins)
1:28 - The Logic: How Min Priority Queues Actually Work
2:48 - Initializing the Java Class for Custom Implementation
4:02 - Setting up the Constructor & Heap Array Initialization
4:46 - Defining Industry-Standard Helper Methods (Parent & Child Indexing)
9:15 - Implementing the Insert (Enqueue) Operation
10:27 - Mastering Heapify-Up: Maintaining the Min-Heap Property
14:02 - Implementing RemoveMin (Dequeue) logic
16:23 - Mastering Heapify-Down: The Core of Deletion
21:30 - Peek Operation: Accessing the Highest Priority Value ($O(1)$)
22:33 - Visualizing the Heap: The PrintQueue Method
23:00 - Live Execution: Testing with Enqueue, Dequeue, & Peek

Deep-Dive Implementation (What You Will Master)

What a Min Priority Queue really is
Why Heap is the best data structure for Priority Queue
How a Complete Binary Tree is stored inside a simple array

Array-based indexing logic explained clearly
 • getParent
 • getLeftChild
 • getRightChild

Industry-style helper methods
 • hasParent
 • hasLeftChild
 • hasRightChild
 • swap

Real edge case handling
 • Queue Full
 • Queue Empty

Core Priority Queue operations from scratch
 • Insert (Enqueue)
 • Remove Min (Dequeue)
 • Peek
 • Print Queue

No magic. No shortcuts. Pure logic.

Heap Logic Explained with Visual Flow
Instead of just coding, I explain how the heap actually moves using diagrams and dry runs.

Heapify Up (Bubble Up)
Heapify Down (Bubble Down)
Why swapping is required
Why deletion always starts from the last element

This is the part where most students fail in interviews — and this video fixes that.

Interview-Ready Complexity Analysis
Insert / Enqueue → O(log n)
Remove Min / Dequeue → O(log n)
Peek → O(1)
Space Complexity → O(n)

Explained with logic, not just formulas.

Why This Video is Different
No built-in PriorityQueue
No copy paste code
Industry-standard structure
Clean helper methods
Visual explanation with dry runs
Interview-focused mindset
Logic-first teaching approach

This is engineering, not just DSA.

Who Should Watch This Video?
DSA students
Java developers
Interview candidates
Anyone preparing for FAANG or product-based companies
Anyone who wants real understanding, not memorization

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We don’t teach syntax. We build engineering logic.

Source Code:
https://github.com/farzeen-ali/DSA-Concepts-The-Techzeen-2025

DSA Lectures:
https://github.com/farzeen-ali/DSA-Lectures-2025-The-Techzeen

DSA Playlist 2026:
https://www.youtube.com/playlist?list=PL5OhSdfH4uDvFpMTyHurVoyCsW85PVS_C

DevOps Tutorial 2026:
https://www.youtube.com/playlist?list=PL5OhSdfH4uDsyUM02ZHl2mOYBpihCYsml

OOP with Java:
https://www.youtube.com/playlist?list=PL5OhSdfH4uDuiGuQW_iARmPVq1sPLsRtZ

React Native CLI Full Course 2026 :
https://www.youtube.com/playlist?list=PL5OhSdfH4uDuUpj3fwknoUVBkT2oMXyOl

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