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DSA Pattern Cheat Sheet

This 8-page cheat sheet covers all the essential patterns you need for coding interviews. Each pattern includes when to use it, the template code, time/space complexity, and common problems that use the pattern.

What's Included

Two Pointers pattern with 3 variations
Sliding Window fixed and dynamic templates
Binary Search on arrays and answer space
BFS/DFS for trees and graphs
Dynamic Programming top-down and bottom-up
Backtracking with pruning techniques
Heap operations and use cases
Stack for monotonic and matching problems
Linked List in-place manipulation
Interval merge and overlap techniques
Greedy choice property identification
Trie implementation and applications

Preview

Two Pointers: Use when dealing with sorted arrays or when you need to find pairs. Time: O(n), Space: O(1)
Sliding Window: Use for subarray/substring problems with a constraint. Time: O(n), Space: O(k)
Binary Search: Use when search space is sorted or monotonic. Time: O(log n), Space: O(1)
... and 9 more sections

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