Summary
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📘 Welcome to Part 155 of Code & Debug’s DSA Python Course! In this video, we tackle Leetcode 1334 - Find the City With the Smallest Number of Neighbors at a Threshold Distance, a classic variation of the All-Pairs Shortest Path problem using the Floyd-Warshall Algorithm. The goal is to find the city with the fewest reachable neighbors within a given distance threshold — and if there are multiple, return the city with the greatest number. 👨🏫 What’s covered in this video: ✅ Understanding the problem with a real-world analogy ✅ Converting edge list to an adjacency matrix ✅ Applying Floyd-Warshall to compute shortest paths ✅ Counting reachable cities for each node ✅ Finding the correct city based on constraints ✅ Full Python code walkthrough with edge-case discussion ✅ Time Complexity: O(n^3) A great problem to master matrix-based graph algorithms, especially when all-pairs comparisons are needed. 🔗 Leetcode 1334 – Find the City With the Smallest Number of Neighbors at a Threshold Distance: https://leetcode.com/problems/find-the-city-with-the-smallest-number-of-neighbors-at-a-threshold-distance/description/ 👉 Refer to the article for better understanding: 🔗 https://codeanddebug.in/blog/find-the-city-with-the-smallest-number-of-neighbors-at-a-threshold-distance/ 📄 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 🚀 Upgrade to the Complete Zero to Hero DSA Track: https://codeanddebug.in/course/zero-to-hero-python-dsa Stay curious, stay consistent — and keep solving with Code & Debug. Like | Comment | Subscribe & tap the 🔔 to stay updated! #Leetcode1334 #FloydWarshall #GraphMatrix #ShortestPaths #GraphAlgorithms #CodeAndDebug #PythonDSA #Part155 #ThresholdCity #AllPairsSP
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