🧠 *Top 10 Algorithms Every Developer Should Know* ⚙️ 1️⃣ *Binary Search* – Efficient search in sorted data – Time: O(log n) 2️⃣ *Sorting Algorithms (Quick, Merge, Bubble)* – Organize data – QuickSort: O(n log n) avg 3️⃣ *Two Pointer Technique* – Solves problems on arrays (e.g. pairs, palindromes) – Efficient: O(n) or O(n²) 4️⃣ *Sliding Window* – Optimize subarray problems (e.g. max sum, longest substring) – Time: O(n) 5️⃣ *Recursion & Backtracking* – Solve complex problems by exploring possibilities – Used in puzzles, path finding, permutations 6️⃣ *Dynamic Programming (DP)* – Break problem into subproblems + memoization – Used in optimization & game theory 7️⃣ *Depth-First Search (DFS)* – Explore all paths in a tree/graph – Stack-based or recursive 8️⃣ *Breadth-First Search (BFS)* – Level-by-level traversal – Queue-based, good for shortest path 9️⃣ *Greedy Algorithms* – Make best choice at each step – Used in scheduling, coin change (approximate) 🔟 *Dijkstra’s Algorithm* – Finds shortest path in weighted graphs – Time: O(V + E log V) 💡 *Pro Tip:* Understand when to use each and their time/space complexities. ❤️ *React for more!*