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Github code : https://github.com/guptakaran-01/DSA-Codes/blob/main/Leetcode-215 In this video, we solve LeetCode 215: Kth ...

Learn Heap Data Structure in Java from scratch in this beginner-friendly yet deeply comprehensive session of DSA in Java ...

This backend passed all tests and worked perfectly in development. Under real traffic it slowly collapsed. Latency increased ...

Memory issues affect all backend languages, not just Java. This quiz explains how unbounded caches cause memory growth.

So this Java keyword is misunderstood by 90% of developers many developers make use of a final keyword but they don't ...

Many Java backends collapse when traffic reaches real production levels. Databases become overloaded, connections run out, ...

Java Integer caching can cause unexpected results. ‎Only strong fundamentals save you here. ‎#java #javadev #codestack ...

In this lecture, we cover the Queue interface in Java and its important implementations: ArrayDeque and PriorityQueue. Learn how ...

Welcome to Code-with-Bharadwaj! Hi there! I'm Manu, and I'm excited to help you level up your coding skills.

Queues in Java form one of the most important data structures in backend development, scheduling systems, messaging ...

High CPU usage in Java applications often gets blamed on the JVM. This quiz explains why CPU spikes usually come from bad ...

Poorly designed Java systems slow down exponentially under load. Teams often react by adding hardware or rewriting code.

ApplicationContext is the core container that manages beans, dependencies, and lifecycle in Spring Boot. In this short: ✔️ What ...

📝 Training & Certification: 👉 https://forms.gle/dhZhETccxuQTCBQB9 🔰 Collection Framework Priority Queue in Java – Part-6 ...

linkedlist #dsa #dsalgo #leetcode #java #javadsa #datastructure #algorithms #algorithm #algo #leetcode #coding #codingtutorial ...

Hi Guys, In this video you will learn about queue and how it works. you will understand priority queue as well. please subscribe for ...

In this video, we solve **LeetCode 2233: Maximum Product After K Increments** using an efficient Greedy + Min Heap approach.

In this video, we solve LeetCode 3781: Maximum Score After Binary Swaps using a greedy + heap (priority queue) approach. We ...

... and it's used in: ✓ Heap Sort ✓ Priority Queues ✓ Scheduling Algorithms ✓ Top-K Problems Watch this reel till the end — this ...