🚀 DSA Patterns & Concepts you should know to crack any FAANG company: Basic : > Array traversal > Two pointers > Sliding window > At Most – Exactly Sliding Window (Double Window Trick) > Hash table / frequency map > Sorting patterns > Merge sort (Specifically) > Binary search > Binary search on answers > Bit manipulation > Prefix sums > Cumulative product / running product > Bit manipulation > Set operations > Count + compare techniques > Greedy > Use of STL (stack, queue, set etc.) > Linked List (Cycle detection, reverse K elements ) > Two-pointer string patterns > Sliding window for substrings > Two-sum / k-sum family > Number theory (gcd/lcm, modular arithmetic) Recursion : > Basic recursion > Backtracking (subset/permutation generation) > Depth-first search (graph/tree) > Tree traversal patterns (pre/in/post) Dynamic Programming : > DP on arrays (Knapsack, frog jump, coin count) > DP on stock > DP on subsequences > DP on substrings > DP on palindromes > DP on partitions > DP on intervals > DP on LIS (longest increasing subsequence) > DP with bit masking > DP on digits Graph: > DFS & BFS > Shortest path (unweighted -> BFS; weighted -> Dijkstra) > Cycle Detection (Directed/ Undirected) > Topological sort > Union-Find / Disjoint Set > Minimum spanning tree patterns > Multi-source BFS / layer-by-layer Trees : > Binary tree recursion > Binary search tree properties > Tree DP (postorder aggregations) > Lowest common ancestor (LCA) > Trie / prefix-tree > Max depth/ minimum path > Vertical/Horizontal view ✅ Note: Most companies ask till here only. 🚀 Beyond this point, patterns for top-tier or advanced roles. Advanced Arrays / Math: > Meet-in-the-middle > Reservoir sampling / randomization > Sliding window + monotonic queue / deque Strings : > KMP / prefix-function / Z-algorithm > Trie-based string patterns > Anagram/permute checks > Rolling hash / Rabin–Karp Advanced Graph & Flow : > Shortest paths variants (Bellman-Ford) > Max flow / min cut (Edmonds–Karp, Dinic) > Graph with states (expanded-state graphs) Optimization & Mathy DP : > Knapsack & coin problem variants > Convex hull trick / divide-and-conquer DP optimization > Bitset DP > Meet-in-the-middle DP Concurrency / System-style : > Producer-consumer patterns > Lock-free / atomic patterns (conceptual) > Rate-limiting / token-bucket ideas > Event sourcing / idempotency Patterns for performance & implementation : > Space-time tradeoff > Caching / memoization > Rolling window + incremental update > Stream processing / online algorithms How to tackle new type of problem : > Reduce-to-known-problem > Transform input (compress, normalize) > State compression / encoding > Constructive algorithms Interview meta checklist : > Brute force -> optimize > Recognize constraints -> pick pattern > Edge-case templates (empty, single, overflow) > Invariants & loop invariants Follow me for more such content. #DSA #SoftwareEngineering #FAANG

Ever wondered how X or Instagram loads posts so smoothly, even having billions of posts in their database? 🤯 I’m building a Social Media Feed Generator. Here’s what I learned about why feeds never crash and how pagination, caching & ranking keep them fast 🧵👇(1/12)

🧬 Your body might soon be a quantum computer. Scientists have just developed biological qubits using fluorescent proteins — meaning living cells could become quantum sensors. These proteins can enter quantum superposition and be read like qubits under the right conditions. Imagine diagnostics, neural interfaces, or medical imaging powered by quantum cells. We’re not just writing software — we may soon be programming life itself. Isn't it interesting ?? Let me know in replies. #QuantumBiology #FutureTech #QuantumComputing