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Algorithms-Cheatsheet-Resources
Algorithms Cheatsheet Resources collects reference material for programming and algorithms.

About Algorithms-Cheatsheet-Resources
Algorithms-Cheatsheet-Resources is an open-source GitHub repository that gathers useful algorithms in multiple programming languages, along with cheat sheets and learning resources. The repository's README describes it as a collection of algorithms and resources for learning "geeky stuffs."
The repository contains folders for languages such as Dart, Java, JavaScript, Python, C, C++, Golang, and Haskell, as well as sections for Docker, Jupyter Notebook, roadmaps, and conference papers. It also links to external cheat sheets and resources covering topics like Git, cloud platforms, Big O complexity, JavaScript libraries and frameworks, Python packages, and Chrome extensions.
It is intended for developers, students, and anyone learning computer science or programming who wants a central place to find algorithm examples and reference material. The repository is open source and has 438 stars, 165 forks, and 648 commits.
Key features
- Algorithms in multiple languages including Java, Python, JavaScript, C, C++, Golang, Dart, Haskell.
- Cheat sheets and resources for Git, cloud, Bash, JavaScript, Python, and more.
- Folders for Docker, Jupyter Notebook, roadmaps, and conference papers.
- Links to external resources like Big O cheatsheet and free CS education.
- Open-source repository with 438 stars, 165 forks, and 648 commits.
- Open source and freely available on GitHub.
- Covers multiple programming languages and topics in one repository.
- Combines algorithm code with links to cheat sheets and learning resources.
- Has 438 stars, 165 forks, and 648 commits.
- Requires basic familiarity with GitHub to browse files and folders.
- Mostly a collection of links and code, not a guided tutorial or course.
Algorithms-Cheatsheet-Resources at a glance
- Category
- Education & Learning › Learn to Code
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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