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Top 100 Liked DSA Questions

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This section covers fundamental and advanced array manipulation techniques, including two-pointers, sliding windows, and prefix sums.
Dive into linear data structures, mastering pointer manipulation, cycle detection, and common patterns like monotonic stacks.
Explore hierarchical data structures, including traversals (BFS, DFS), properties of Binary Search Trees, and advanced construction and serialization problems.
Master the art of solving complex optimization and combinatorial problems by breaking them down into simpler subproblems.
Model complex networks and relationships. This section covers graph traversals, topological sort, and cycle detection.
Tackle a common category of problems involving merging, inserting, and managing time intervals.
Learn specialized and highly efficient techniques for frequency counting, priority management, making optimal local choices, and low-level bit manipulation.
Challenge yourself with advanced problems that often require combining multiple data structures and algorithms to solve.
Practice problems involving 2D grids, a common way to represent data in interviews. These often involve clever traversals or in-place manipulations.