Open Source resource for learning Data Structures & Algorithms and their implementation in any Programming Language
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TheAlgorithms is an organization on GitHub that offers a comprehensive open-source resource for learning Data Structures and Algorithms. Their repositories feature implementations in several programming languages, including Python, Java, C++, and JavaScript. Notable projects include collections of algorithms for educational purposes, making them accessible for learners and developers alike.
All Algorithms implemented in Python
All Algorithms implemented in Java
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Algorithms and Data Structures implemented in JavaScript for beginners, following best practices.
All Algorithms implemented in Rust
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
Algorithms and Data Structures implemented in Go for beginners, following best practices.
All algorithms implemented in C#.
Popular algorithms explained in simple language with examples and links to their implementation in various programming languages and other required resources.
Algorithms and Data Structures implemented in TypeScript for beginners, following best practices.
All Algorithms implemented in PHP
All Algorithms implemented in Dart
All Algorithms implemented in Kotlin
All algorithms implemented in Ruby
Collection of various algorithms implemented in R.
This website is deprecated. The new website is https://the-algorithms.com. You can see the old website by going to https://thealgorithms.github.io/index-old.html
All Algorithms implemented in Scala
The Algorithms website providing GitHub's largest open-source algorithm library.
The repository contains script and notebook related to Statistics, Machine learning, Neural network, Deep learning, NLP, Numerical methods, and Automation.
All Algorithms implemented in Swift
Algorithms implemented in the Julia programming language. We're collaborating with the Humans of Julia community!
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This repository contains algorithms written in MATLAB/Octave. Developing algorithms in the MATLAB environment empowers you to explore and refine ideas, and enables you test and verify your algorithm.
Collection of Algorithms implemented in Zig.
Algorithms and Data Structures implemented in the Lua programming language
Algorithms and data structures implemented in Solidity
Default configuration for @TheAlgorithms repositories
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All Algorithms implemented in F#
This website is no longer maintained. Please see https://github.com/TheAlgorithms/website
A bot for TheAlgorithms/Python repository.
All Algorithms implemented in AArch64 Assembly
Algorithms Implemented in OCaml
All Algorithms implemented in Clojure
Collection of various algorithms implemented in Nim for educational purposes.
All Algorithms implemented in Fortran. Making Fortran Great Again!
Scripts used across all The Algorithms repositories
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
All Algorithms implemented in Elm
All algorithms implemented in Mojo. (The first open-sourced Mojo repository on GitHub)
Algorithms and data structures implemented in the Jule programming language.
All Algorithms implemented in Zig
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TheAlgorithms builds an extensive range of repositories focused on Data Structures and Algorithms. These projects include implementations in various programming languages such as Python, Java, and C++, catering to learners and developers seeking practical examples.
TheAlgorithms utilizes several programming languages in their repositories, with primary focus on Python, Java, C++, JavaScript, and TypeScript. This diverse language support enhances accessibility for a wide audience of learners.
Yes, all of TheAlgorithms's repositories are public. This openness allows anyone to view, use, and contribute to their projects, fostering a collaborative environment for learning and implementation of algorithms.
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