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: 2026-07-06 00:07:44 UTC
- JSON Representation
https://github.com/adkrgu/leetcode_150
This repository aims at providing the best comprehensive solutions, step-wise explanations to Leetcode 150 (Top Interview Questions List).
algorithms cpp14 data-structures leetcode-solutions
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arraylist data-structures heap linkedlist queue stack
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c99 data-structures dynamic-array
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Data Structure and Algorithm written in Rust
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cpp cpp-programming data-structures time-complexity time-complexity-analysis time-complexity-comparison university university-project
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Data Structures is about how data can be stored in different structures. Algorithms is about how to solve different problems, often by searching through and manipulating data structures. Theory about Data Structures and Algorithms (DSA) helps us to use large amounts of data to solve problems efficiently.
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Lightweight C application kernel providing core data structures (lists, maps, buffers), memory management, and optional Boehm GC integration for building robust applications.
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Implementations of various data structures.
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In this repository, you will find problems about data structures and algorithms in TypeScript
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algorithms algorithms-and-data-structures c c-language c-programming data data-structures data-structures-c structures-c
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Library/source codes that I've coded and used for my lectures during my career as BSCS/BSIT/BSCOE Assistant Professor for BSCS, BSIT and BSCOE way back late 2007 to 2015 (on-going retrieving the codes and rearranging the repo) . You like the Repo? Don't forget to 🌟, 👁️, 🔱 and ❤️
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For all of the following problems, when it is stated “in the user level” you should assume that you only have the object code of the data structure along with the interface given in the header file. On the other hand, When it is stated that “in the implementation level” you should assume that you have the source code file of the data structure and you should write the desired piece of code within that source code file.
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algorithms coding-challenges competitive-programming cpp data-structures data-structures-and-algorithms dsa dynamic-programming leetcode problem-solving
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algorithm data-structures python
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Flexible, lightweight, extensible, easy-to-use data structures for Python
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Estruturas de Dados diversas implementadas em C++.
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