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Java DSA: LEETCODE Exercises — Linked Lists, Stacks & Queues

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Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 36m | Size: 363.27 MB

Java DSA — Linked Lists, Stacks & Queues (Solution Code with Detailed Explanations) | Coding Practice Exercises

What you'll learn
Master LeetCode-Style Exercises: Solve high-frequency interview questions covering Linked Lists, Stacks, and Queues using clean, idiomatic Java.
Apply Two-Pointer & Slow/Fast Mechanics: Implement core pointer techniques to detect cycles, find middle nodes, and calculate list intersections in $O(N)$ time.
Perform In-Place Node Manipulations: Reverse, partition, and reorder singly and doubly linked lists without using extra memory space.
Build Data Structures from Scratch: Construct custom Linked Lists, Stacks, Queues, and Deques without relying on built-in language abstractions.
Master Monotonic Stack & Queue Patterns: Solve complex dynamic problems like Next Greater Element, Daily Temperatures, and Sliding Window Maximum.
Leverage the Java Collections Framework (JCF): Choose the correct Java data structure (LinkedList, ArrayDeque, PriorityQueue) for maximum memory and execution e
Handle Tricky Edge Cases: Write bug-free, production-grade code that gracefully handles null references, empty inputs, single-node cases, and memory leaks.
Analyze Big-O Efficiency: Perform rigorous time ($O(N)$) and space ($O(1)$) complexity analyses for every algorithm and data structure operation.
Simulate Real-World System Components: Utilize Stacks and Queues to model expression evaluators, call-stack executions, task schedulers, and BFS traversals.
Optimize Brute-Force Solutions: Systematically refactor high-complexity naive solutions into optimal linear-time implementations.
Explain Memory & Reference Allocation: Clearly articulate how Java handles reference passing, heap memory allocations, and garbage collection during interview d
Communicate Technical Trade-Offs: Articulate design decisions, alternative data structure choices, and performance trade-offs like a senior engineer during live

Requirements
Basic Java Knowledge: Familiarity with core syntax (variables, loops, conditional statements, and basic methods) and fundamental Object-Oriented Programming (OOP) concepts like classes and objects.
A Computer & IDE: A computer running Windows, macOS, or Linux with standard Java Development Kit (JDK) installed, alongside any Java-compatible IDE (such as IntelliJ IDEA, Eclipse, or VS Code).