Interactive visualizations demonstrating my understanding of fundamental data structures and algorithms. Click play to see how these structures work in action.
Last In, First Out data structure. Elements are added and removed from the top only.
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First In, First Out data structure. Elements are added at the back and removed from the front.
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Hierarchical data structure where each node has at most two children, maintaining sorted order.
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Linear data structure where elements are stored in nodes, each pointing to the next node.
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Non-linear data structure consisting of nodes (vertices) connected by edges.
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Choosing the right data structure can dramatically improve algorithm efficiency and application performance.
Understanding data structures helps in designing optimal solutions for complex programming challenges.
Data structure knowledge is crucial for designing scalable systems and choosing appropriate storage solutions.
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