*🔧 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!*