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👋 Welcome to Lecture 41 of our complete DSA Series! In this video, we dive deep into the *Complete Dijkstra's Algorithm**, the most essential algorithm for finding the **shortest path* in a graph with non-negative edge weights. Whether you're preparing for a placement interview, solving LeetCode problems, or just learning advanced Data Structures and Algorithms (DSA), this tutorial covers everything you need: from the core logic and working approach to the full implementation and time complexity analysis. 🚀 *Video Chapters (Timestamps):* [00:00] Intro to Dijkstra's Algorithm & The Shortest Path Problem [01:15] Understanding the Core Idea and Logic [03:40] Step-by-Step Working Approach (Visual Example) [07:22] Data Structures Required (Priority Queue vs. Array) [10:55] Full Implementation Walkthrough (Pseudocode) [18:05] Complete Time Complexity and Space Complexity Analysis [21:50] The Catch: Why Dijkstra Fails with Negative Edge Weights [25:30] Quick Review and Key Takeaways ⭐ *DSA Series Playlist:* [ • Data Structures Full Course for Beginners ... ] Don't forget to *Like* this video and *Subscribe* to the freeplacementcourse channel for more complete placement and DSA preparation lectures! #DijkstrasAlgorithm #ShortestPath #DSA #DataStructuresAndAlgorithms #CodingInterviewPrep #PlacementCourse #GraphAlgorithm