Crack MAANG interviews with this 10 coding patterns.

Want to crack MAANG interviews? 🚀 Master these Top 10 Coding Patterns to solve problems efficiently and impress interviewers! 💡💻

From Sliding Window for handling subarrays to Dynamic Programming for optimization problems, these patterns will help you solve complex coding challenges with confidence. 🔥 Understanding these patterns will not only boost your problem-solving skills but also improve your coding speed during technical interviews.

Here’s what you need to focus on:
✅ Sliding Window – Optimize subarray problems effortlessly 🖥️
✅ Two Pointers – Efficient for searching and sorting 🔎
✅ Fast & Slow Pointers – Detect cycles in linked lists 🔄
✅ Merge Intervals – Solve scheduling and overlapping problems 📅
✅ DFS & BFS – Essential for tree and graph problems 🌳
✅ Dynamic Programming – Master optimization and recursion 🔢
✅ Kadane’s Algorithm – Solve maximum subarray problems efficiently 📈
✅ Monotonic Stack & Queue – Handle next greater/smaller element problems 📊
✅ Union-Find (Disjoint Set) – Solve connectivity problems in graphs 🔗
✅ Heap (Priority Queue) – Optimize sorting and scheduling problems ⚡

Why should you master these?
📌 These patterns repeat across LeetCode, HackerRank, and CodeSignal problems
📌 Most MAANG interview questions can be solved using these techniques
📌 Understanding patterns helps you recognize solutions faster

🔥 Challenge: Pick one pattern, solve 5 problems, and share your progress! Let’s help each other grow in our coding journey. 🚀

Which pattern do you find the most useful? Let me know in the comments! 👇💬

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