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Data structures are ways to organize, store, and manage data in a computer so that it can be accessed and modified efficiently. They are the foundation for designing efficient algorithms and play a crucial role in computer science.
Common data structures include:
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Arrays: A collection of elements identified by index or key.
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Linked Lists: A linear collection of data elements where each element points to the next.
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Stacks: A collection of elements that follows the Last In First Out (LIFO) principle.
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Queues: A collection of elements that follows the First In First Out (FIFO) principle.
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Trees: A hierarchical structure with nodes, with a root node and child nodes forming a parent-child relationship.
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Graphs: A collection of nodes connected by edges. Hash Tables: A data structure that provides fast access to elements by using a hash function to map keys to values.
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Algorithms are step-by-step procedures or formulas for solving a problem or completing a task. In computer science, an algorithm is a set of instructions that take an input and transform it into an output through a series of well-defined steps.
Key aspects of algorithms include:
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Correctness: Ensuring the algorithm produces the correct output for all possible inputs.
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Efficiency: Minimizing the time and space resources required to execute the algorithm.
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Complexity: Analyzing the time complexity (how the runtime increases with input size) and space complexity (how the memory usage increases with input size).
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In this repository, I tried to implement a few of the data structures and some searching and sorting algorithms using different programming and scripting languages, feel free to check each one of them
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