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Data structures are objects or collections that can be used to store and organize data. Python offers a variety of built-in data structures that are designed to efficiently manage and manipulate data. Here are some common data structures in Python
python-data-structures-and-algorithm's Introduction
Arrays are collections of elements, while strings are sequences of characters.
Important operations include indexing, slicing, reversing, and searching.
Linked lists are linear data structures made up of nodes, each containing data and a reference to the next node.
Common operations include insertion, deletion, and traversal.
Stacks follow the Last-In-First-Out (LIFO) principle.
They support push (insertion) and pop (removal) operations.
Queues follow the First-In-First-Out (FIFO) principle.
Common operations include enqueue (insertion) and dequeue (removal).
Trees are hierarchical data structures with a root node, parent-child relationships, and leaf nodes.
Binary trees have at most two children per node.
Graphs represent connections between nodes (vertices) through edges.
Graph traversal algorithms such as BFS & DFS.
Hash tables use a hash function to map keys to values, providing constant-time average case lookup.
They handle collisions using techniques like chaining or open addressing.
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