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GRBreadth First Search (BFS) Algorithm Explained + Python Implementation
Crack big tech at algomap.io!
#coding #leetcode #programming #interview
@greghogg5
#Bfs Algorithm Implementation
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SABFS 🏹, Comment “Graph” ❤️
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THDFS vs BFS — but inside a maze 🧩
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WEDay 18/20 – BFS vs DFS Explained with Code 🚀
Today I explained the core difference between Breadth First Search (BFS) and Depth First Search (DFS) with a simple graph example and path finding between nodes A and I.
✅ How BFS works layer by layer
✅ How DFS goes deep first
✅ Path finding logic
✅ Visited set, queue & recursion explained
✅ Interview + production perspective (Graph Databases like Neo4j & Neptune)
If you’re preparing for coding interviews, this is a MUST-know DSA concept.
Follow for Day 19 🔥
#DSA #DataStructures #Algorithms #BFS #DFS GraphTheory CodingInterview SoftwareEngineer FullStackDeveloper LeetCode Programming ComputerScience TechReels DeveloperLife 100DaysOfCode InterviewPreparation SystemDesign CodingJourney
@webrustjs
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VI👇 BFS vs DFS (Graph / Tree Traversal)
🔵 BFS (Breadth First Search)
Explores level by level.
Uses a Queue.
Best for shortest path in unweighted graphs.
🟣 DFS (Depth First Search)
Explores depth first, then backtracks.
Uses a Stack / Recursion.
Best for path exploration & cycle detection.
⏱ Time Complexity: O(V + E)
📌 Same complexity, different approach
Follow @visualcoders
#BFS #DFS #GraphTraversal #TreeTraversal #DSA #Algorithms #CodingReels #LearnToCode #ComputerScience
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GLVIRAL CAPTION ⬇️
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An algorithm can be thought of as a clear sequence of steps used to solve a specific problem or carry out a task. It is the building block behind programming, artificial intelligence, and most automated systems we use daily.
✨ Main Properties of an Algorithm
1. Clarity – Every step must be simple and well-defined.
2. Limited Steps – It should always finish after a certain number of actions.
3. Inputs & Outputs – Data goes in, gets processed, and results come out.
4. Practicality – Must work effectively with the resources available.
🧩 Different Categories of Algorithms
1. Searching Methods (like Linear Search, Binary Search)
2. Sorting Methods (such as QuickSort, MergeSort, Bubble Sort)
3. Graph-Based Methods (BFS, DFS, Dijkstra’s Algorithm)
4. Machine Learning Approaches (Neural Nets, Decision Trees)
5. Encryption Methods (RSA, AES)
⚙️ The Process of How They Work
1. Input Stage → Data is provided (numbers, words, etc.).
2. Processing Stage → The algorithm applies logical or mathematical operations.
3. Output Stage → The final answer is given (like a sorted list or shortest path).
🌍 Where Algorithms Are Used
• Search Engines → Google’s PageRank system
• Social Media → Ranking feeds on Instagram, Facebook, Twitter
• Self-Driving Cars → Pathfinding and navigation
• Financial Sector → Algorithm-based trading systems
💡 Quick Example: Binary Search (in pseudocode)
1. Take a sorted list and the target value.
2. Check the middle item.
3. If it matches, return its index.
4. If the target is smaller, continue with the left part.
5. If larger, continue with the right part.
#algorithm #programming #codinglife #learntiktok #learnoninstagram #techfacts #computerscience #programmerlife #educationreels #knowledgeispower #explorepage✨ #viralreels #techlife #artificialintelligence #datascience #machinelearning #ai #pythonprogramming #coderlife #studygram #technologytrends #viralcontent #exploremore #i̇nstagramgrowth #discoverunder50k #nammabengaluru #weekendishere #partyatweekendclub
@glams._.touch
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LLCongrats to my community for being vigilant!
Join now! The links in my bio!
#MrBeast #Crypto #MemeCoin #BFS
(Not financial advice)
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FBGET READY! 👊 The #GlobalCrossoverEvent is upon us — we’ve got THREE actioned-packed hours of #TheFBIs coming your way. It all goes down TOMORROW, starting at 8/7c. Don’t be late!
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ONBFS vs. DFS on a Grid with a Nearby Target
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