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DSA Patterns Every Developer Should Know 🧠💻
- Mastering common DSA patterns helps in quickly recognizing and applying strategies during interviews or contests.
- Pattern 1: Sliding Window involves recognizing subarrays/substrings and using structures like Arrays, Strings, HashMaps/Sets.
- Pattern 2: Two Pointers is used in sorted arrays or pair-based problems to reduce nested loops to O(n).
- Pattern 3: Fast & Slow Pointers are employed in linked lists to detect cycles or repeated states.
- Pattern 4: Merge Intervals is applicable when dealing with intervals or ranges for tasks like scheduling or booking overlaps.
- Pattern 5: Cyclic Sort is useful for finding missing/duplicate elements in arrays with a known range without extra space.
- Pattern 6: Binary Search efficiently finds positions or values in sorted arrays or ranges with variations like Lower/Upper Bound.
- Pattern 7: Special Array Sorting optimizes sorting for arrays with specific structures like 0s/1s/2s or bitonic sequences.
- Pattern 8: Hash Maps in Arrays/Linked Lists assist in tasks like frequency counting, prefix sums, or constant time lookups.
- Pattern 9: Prefix & Suffix Sum aids in sum calculations between indices or partitioning based on sums.
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