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