The Algorithms

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The Algorithms
The Algorithms Logo.png
Established2016
FounderAnup Kumar Panwar and Chetan Kaushik
TypeOpen Source Organisation
PurposeOpen Source resource for learning Data Structures & Algorithms and their implementation in any Programming Language
Websitehttps://github.com/TheAlgorithms

The Algorithms is an Open source resource for learning Data Structures & Algorithms and their implementation in any programming language.

History[edit]

The Algorithms was founded by Anup Kumar Panwar and Chetan Kaushik in 2016 as a resource for their college students where they can learn the implementation of any Data Structure and Algorithm in the programming language of their preference.[1] The founders discovered that the college students had a good understanding of how the algorithms work but they faced difficulties while writing code for the same. So The Algorithms was started with just 3 popular programming languages C, C++ and Python where the students can just read the code and understand it. Later the students themselves started adding various algorithms to the repositories.

Overview[edit]

Today The Algorithms is one of the biggest Open Source Organisations on Github.[2] It has more than 100 active members[3] on Github and 600 members on the Gitter channel. It is available in 22 Programming Languages. The most popular ones are:

Recently it has started writing plain text explanation of the algorithms in different languages which include English, Brazilian Portuguese, Spanish and Nepali.

Programming Laguages Available[edit]

C, C++, C#, Dart, Elixir, Elm, F#, Go, Haskell, Java, JavaScript, Jupyter, Kotlin, MATLAB, OCaml, Php, Python, R, Ruby, Rust, Scala, Swift

Useful Links[edit]

Apart from the Github, The Algorithms can be reached on:

References[edit]

  1. "The Algorithms Github".
  2. "The GitHub Python Top Repositories".
  3. "The Algorithms Members".
  4. "Top 11 Github Repositories to Learn Python".
  5. "Top Github repositories for Java developers".
  6. "Top C/C++ Machine Learning Libraries For Data Science".

Category:Collaborative software Category:Open Source Category:Algorithms Category:Computer Science


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