Other common data structures include:
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Arrays: Fixed-size collections of elements of the same data type, allowing for efficient indexing.
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Tuples: Immutable ordered collections that can hold elements of different data types, often used for fixed data.
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Sets: Unordered collections of unique elements, useful for membership testing and eliminating duplicates.
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Dictionaries (Hash Maps): Key-value pairs that allow for fast lookups, insertions, and deletions based on keys.
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Linked Lists: Collections of nodes where each node contains data and a reference to the next node, allowing for efficient insertions and deletions.
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Stacks: Last-in, first-out (LIFO) structures that allow adding and removing elements from the top.
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Queues: First-in, first-out (FIFO) structures that allow adding elements to the back and removing from the front.
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Trees: Hierarchical structures with nodes connected by edges, commonly used for representing hierarchical data (e.g., binary trees, AVL trees).
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Graphs: Collections of nodes (vertices) connected by edges, used to represent relationships between entities.
Each data structure has its own strengths and weaknesses, making them suitable for different types of applications and use cases.
