Patterns
Master the essential patterns that appear in 90% of coding interviews
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Two Pointers
Use two pointers to traverse arrays efficiently
Sliding Window
Process subarrays using a moving window technique
Binary Search
Divide and conquer to find elements in O(log n)
DFS & BFS
Explore graphs and trees systematically
Dynamic Programming
Break complex problems into overlapping subproblems
Backtracking
Explore all possibilities with strategic pruning
Heap / Priority Queue
Efficiently access min/max elements
Graph Traversal
Navigate connected components and paths
Trees
Work with hierarchical data structures
Hashing
Constant-time lookups and frequency counting
Linked Lists
Manipulate sequential node structures
Stack & Queue
LIFO and FIFO operations for various problems
Greedy
Make locally optimal choices for global solutions
Intervals
Merge, insert, and manipulate ranges
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