Post🔧 Top 15 Data Structures Every Developer Should Know

🔧 Top 15 Data Structures Every Developer Should Know 1️⃣ Array – Fixed-size, index-based structure. – Fast read, slow insert/delete. 2️⃣ Linked List – Elements connected via pointers. – Efficient insert/delete, slow access. 3️⃣ Stack (LIFO) – Push/pop only from one end. – Used in undo features, recursion. 4️⃣ Queue (FIFO) – Enqueue at rear, dequeue from front. – Used in scheduling, messaging systems. 5️⃣ Hash Table / HashMap – Key-value storage with fast access. – Used in caching, databases. 6️⃣ Set – Stores unique elements. – Good for membership checks. 7️⃣ Tree – Hierarchical structure. – Used in file systems, parsers. 8️⃣ Binary Search Tree (BST) – Tree with ordered nodes. – Efficient search, insert, delete. 9️⃣ Heap – Complete binary tree (min/max). – Used in priority queues, heapsort. 🔟 Graph – Nodes and edges. – Used in maps, networks, social media. 1️⃣1️⃣ Trie – Prefix tree for strings. – Used in autocomplete, dictionary. 1️⃣2️⃣ Deque (Double-ended queue) – Add/remove from both ends. – Combination of stack and queue. 1️⃣3️⃣ Matrix – 2D array for mathematical operations. – Used in games, ML, image processing. 1️⃣4️⃣ Union-Find (Disjoint Set) – Track a set of elements split into groups. – Used in Kruskal's algorithm, social networks. 1️⃣5️⃣ Bloom Filter – Probabilistic data structure. – Checks for membership with space efficiency. 💡 Pro Tip: Master operations, use cases & time complexity for interviews. ❤️ React for more!