Data Structures and Algorithms with Python | Free DSA with Python Course - DSA in Python - Cheapest Flights Within K Stops | Leetcode 787 | Modified BFS | Part 150 [Hindi]

📘 Welcome to Part 150 of Code & Debug’s DSA Python Course 2025! In this video, we solve Leetcode 787 - Cheapest Flights Within K Stops, a practical graph problem where we’re asked to find the minimum cost to travel from a source to destination within at most K stops. This isn’t a classic shortest-path problem — we need to modify BFS/Dijkstra to include a constraint on the number of stops. 👨‍🏫 What’s covered in this video: ✅ Graph construction from flight list ✅ Modified BFS traversal with (steps, node, cost) ✅ Pruning paths that exceed k + 1 stops ✅ Tracking minimum cost per node ✅ Understanding when to update cost and when not to ✅ Step-by-step Python code walkthrough ✅ Time and Space Complexity Analysis This is a perfect example of adapting graph traversal to real-world constraints like limited layovers or flight hops. 🔗 Leetcode 787 - Cheapest Flights Within K Stops: https://leetcode.com/problems/cheapest-flights-within-k-stops/description/ 👉 Refer to the article for better understanding: 🔗 https://codeanddebug.in/blog/cheapest-flights-within-k-stops-leetcode-787-easy-bfs-approach-in-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 🚀 Master the Full DSA Track (Zero to Hero): https://codeanddebug.in/course/zero-to-hero-python-dsa Keep going strong and stay consistent with Code & Debug! Like | Share | Subscribe & turn on the bell for updates! #CheapestFlights #Leetcode787 #GraphBFS #DSA2025 #PythonDSA #GraphWithConstraints #KStops #GraphTraversal #CodeAndDebug #Part150