Data Structures and Algorithms with Python | Free DSA with Python Course - DSA in Python - Number of Ways to Arrive at Destination | Dijkstra | LC 1976 | Part 152 [Hindi]

📘 Welcome to Part 152 of Code & Debug’s DSA Python Course! In this video, we dive into Leetcode 1976 – Number of Ways to Arrive at Destination, a twist on the classic Dijkstra’s algorithm where we not only calculate the shortest path distances but also count the number of distinct ways to reach the destination with the shortest cost. This problem combines shortest path + path counting, and is a must-know variant for interviews and contests. 👨‍🏫 What’s covered in this video: ✅ Understanding how Dijkstra helps find shortest paths ✅ How to track multiple paths using a ways[] array ✅ Updating path count when equal distance is found ✅ Priority Queue logic for optimization ✅ Complete Python code explanation ✅ Time & Space Complexity Breakdown This is a goldmine for mastering Graph + DP on Graph concepts! 🔗 Leetcode 1976 - Number of Ways to Arrive at Destination: https://leetcode.com/problems/number-of-ways-to-arrive-at-destination/description/ 👉 Refer to the article for better understanding: 🔗 https://codeanddebug.in/blog/number-of-ways-to-arrive-at-destination-python/ 📄 Full Playlist Sheet (All Questions in Order): https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing 🎓 Enroll in the FREE Python DSA Course: https://codeanddebug.in/course/master-dsa-with-leetcode 🚀 Complete DSA Roadmap (Beginner to Advanced): https://codeanddebug.in/course/zero-to-hero-python-dsa Let’s decode every graph challenge together. Like | Share | Subscribe & turn on 🔔 notifications for updates! #ShortestPath #NumberOfWays #DijkstraVariation #GraphAlgorithms #PythonDSA #DSA2025 #Leetcode1976 #CodeAndDebug #Part152