GeeksforGeeks
geeksforgeeks.orgGeeksforGeeks provides programming tutorials, courses, interview preparation, and data structure practice.
Looking for something like Algorithms-Cheatsheet-Resources? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 9 are open source.
Algorithms Cheatsheet Resources collects reference material for programming and algorithms.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | GeeksforGeeks | — | Not stated | Linux, Web |
| 2 | Awesome YouTubers | — | Yes | — |
| 3 | Developer Roadmap | — | Not stated | Linux |
| 4 | cs-video-courses | — | Not stated | — |
| 5 | Professional Programming | — | Yes | — |
| 6 | CSRankings | — | Not stated | Web |
| 7 | Handson ML3 | — | Yes | — |
| 8 | JavaScript Algorithms | — | Yes | — |
| 9 | awesome-system-design-resources | — | Yes | — |
| 10 | OSSU Comp Sci | — | Yes | — |
GeeksforGeeks provides programming tutorials, courses, interview preparation, and data structure practice.
Awesome YouTubers collects channels that teach a range of subjects through video.
Developer Roadmap provides interactive roadmaps, guides, articles, and educational content for developers.
The cs-video-courses list links to computer science courses that include video lectures for learners.
This repository curates learning resources for software engineers, including material for people exploring programming topics.
CSRankings lists computer science research rankings and accepts support from visitors.
A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
This repository implements JavaScript algorithms and data structures, with explanations and links for further reading.
awesome-system-design-resources provides free materials for learning system design and interview preparation.
OSSU Computer Science outlines a free, self-directed path for studying computer science.
Roadmap.sh publishes community-created developer roadmaps, guides, articles, and courses for learning technical skills.
Jupyter notebooks implement and derive machine learning algorithms from first principles using NumPy.
Stanford Engineering Everywhere offers online courses and materials, including computer science, artificial intelligence, and electrical engineering.
The Borr Project builds a broad computer science curriculum from online materials for foundational study.
CS Academy provides educational material and activities for learning computer science.
CollegeComendium offers a curated collection of learning materials for self-paced study.
System Design Academy points readers to a newsletter about AI engineering and system design.
A Brazilian Portuguese community adaptation offers a self-directed computer science education path based on OSSU principles.
Design Patterns for Humans explains software design patterns in simplified terms.
A computer science study plan, Interview University helps learners prepare for software engineering roles.
System Design 101 explains complex systems with visuals and plain language for interview preparation.
HackTricks collects cybersecurity reference material and provides links to training, tools, and updates.
A curated repository helps readers discover machine learning and AI courses published on YouTube.
This tutorial walks through training and deploying a machine learning REST API that predicts cryptocurrency prices in ten steps.
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