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Data Structures and Algorithms (DSA) are essential for efficient problem-solving in computer science. Data structures like arrays, linked lists, stacks, queues, trees, and graphs organize and store data for efficient access and modification. Algorithms are step-by-step procedures for calculations, data processing, and automated reasoning. Key algorithms include sorting (e.g., quicksort, mergesort), searching (e.g., binary search), and graph algorithms (e.g., Dijkstra's shortest path). Understanding time and space complexity, often expressed using Big O notation, is crucial for evaluating algorithm efficiency. Mastery of DSA enables optimized code, crucial for software development, competitive programming, and tackling complex computational problems.
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