Data structures

A data structure is a particular way storing and organizing data in a computer for efficient access and modification. Data structures are designed for a specific purpose. Examples include arrays, linked lists, and classes.

GitHub: https://github.com/topics/data-structures
Wikipedia: https://en.wikipedia.org/wiki/Data_structure
Related Topics: algorithm,
Aliases: data-structure,
Last updated: 2026-07-10 00:07:48 UTC
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https://github.com/bekcodingaddict/dsa

DSA stands for "Data Structures and Algorithms." In computer science and programming, data structures refer to the way data is organized and stored in a computer's memory, while algorithms are a set of step-by-step instructions for solving a particular problem or task.

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The Java code models all 64 districts of Bangladesh as nodes in an undirected, weighted graph. The graph captures road distances between districts to support pathfinding, logistics, or geographic analysis.

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Keep on learning :)

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Battle tested algorithms and data-structures for your next space-mission or casual reading.

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⚡ A collection of C++ programs covering data structures, algorithms, and problem-solving techniques. Includes implementations of graph algorithms, dynamic hashing, matrix operations, pointer concepts, and more, making it a valuable resource for competitive programming and system-level programming. 🚀💻

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https://github.com/jeanbou/tech-interview-questions

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https://github.com/theritikchoure/dsa

This repository is for anyone and everyone who wishes to understand what are data structures and how algorithms work. This repo is specially for computer science and information technology students. This repo includes – 1. Theory & algorithms - Understand the working of data structures and algorithms that operate on them. 2. Practical Implementation (Programs) – Implement the DS and algorithms in the form of computer programs using C++ programming language. We will be covering many topics in DS such as - What is Data structures, why do we need DS, Algorithms, Algorithm analysis, time and space complexity, types of Data structures - linear and non linear types, stack, queues, linked list, graphs, trees. Algorithms - Sorting, searching, tree traversal etc.

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a very basic snake game using queue DS on the web

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https://github.com/nextgengk/data-structures-and-algorithms

In this repository that contains all the Data Structures and Algorithms concepts and their implementation in several ways.

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Competitive Programming Library for Go

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⚙ Some simple data structures & algorithms practice.

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KTU S3 DS LAB PROGRAMS

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Local-first Python playground for coding interview prep, data structures, algorithms, and LeetCode-style practice without autocomplete or AI.. Let the code brew, Bruh.

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