Essential Tools            Every Data Scientist           Swears By in 2024

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An ordered collection of elements with constant-time random access, making it efficient for storing and retrieving data.

1

Array

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A linear data structure where elements are stored in nodes, each containing a reference to the next node, facilitating dynamic memory allocation.

Linked List

2

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Follows the Last In, First Out (LIFO) principle, allowing for efficient data manipulation with operations like push and pop.

Stack

3

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Queue

Adheres to the First In, First Out (FIFO) principle, suitable for scenarios where data needs to be processed in a sequential order.

4

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Hierarchical structure with a root node and branches, providing efficient searching, insertion, and deletion operations.

Tree

5

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Graph

A versatile structure representing relationships between entities, consisting of vertices and edges, enabling complex network modeling.

6

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Utilizes a hash function to map keys to indices, offering fast retrieval and storage of key-value pairs.

Hash Table

7

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A specialized tree-based structure with a defined order property, commonly used for priority queue implementations.

Heap

8

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Trie

Especially useful for handling strings, it's a tree-like structure where each node represents a single character, ensuring efficient searches and storage.

9

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Graph Algorithms

A set of techniques, including Depth-First Search (DFS) and Breadth-First Search (BFS), crucial for solving various graph-related problems efficiently.

10

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