Data Structures
Master the fundamental data structures that form the backbone of efficient algorithms. Understanding these structures is crucial for solving complex problems in technical interviews.
📦
Arrays & Strings
Learn about contiguous memory structures and string manipulation techniques.
Key Topics:
- •Dynamic Arrays
- •Two Pointers
- •Sliding Window
- •String Algorithms
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🔗
Linked Lists
Master single, double, and circular linked list operations.
Key Topics:
- •Traversal
- •Reversal
- •Cycle Detection
- •Fast & Slow Pointers
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Stacks & Queues
Understand LIFO and FIFO data structures and their applications.
Key Topics:
- •Stack Operations
- •Queue Operations
- •Monotonic Stack
- •Priority Queue
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🌳
Trees
Explore binary trees, BSTs, and tree traversal algorithms.
Key Topics:
- •Binary Tree
- •BST
- •AVL Tree
- •Tree Traversals
- •LCA
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🗺️
Graphs
Learn graph representations and traversal algorithms.
Key Topics:
- •Adjacency List
- •DFS
- •BFS
- •Topological Sort
- •Union Find
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Hash Tables
Master hashing techniques and collision resolution strategies.
Key Topics:
- •Hash Functions
- •Collision Handling
- •HashMap vs HashSet
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📊
Heaps
Understand min/max heaps and priority queue implementations.
Key Topics:
- •Min Heap
- •Max Heap
- •Heap Operations
- •Heapify
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Tries
Learn prefix trees for efficient string operations.
Key Topics:
- •Trie Operations
- •Autocomplete
- •Word Search
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Study Tips
- →Start with basic operations before moving to complex problems
- →Understand time and space complexity for each operation
- →Practice implementing each structure from scratch
- →Learn when to use each data structure in real-world scenarios