# egonschiele/grokking_algorithms

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13,501 stars · 4,085 forks · JavaScript · NOASSERTION

## Links

- GitHub: https://github.com/egonSchiele/grokking_algorithms
- awesome-repositories: https://awesome-repositories.com/repository/egonschiele-grokking-algorithms.md

## Description

This project serves as an educational resource for mastering fundamental computer science algorithms and data structures. It functions as a learning platform that combines code examples with instructional content to help developers and students build a foundation in programming logic and computational thinking.

The repository distinguishes itself through a visual-first pedagogical approach, utilizing high-resolution diagrams to map abstract algorithmic logic into concrete mental representations. These materials are structured to support instructors in classroom settings while providing learners with a logical progression that builds from basic concepts to more advanced structures.

The collection covers a broad range of software engineering fundamentals, including core sorting and searching techniques. By providing executable code snippets and language-agnostic logic mapping, the project allows users to observe and verify algorithmic behavior in a practical development environment.

The repository is organized as a centralized collection of static assets and code, facilitating direct access to both instructional diagrams and runnable examples for educational use.

## Tags

### Education & Learning Resources

- [Algorithm Learning Materials](https://awesome-repositories.com/f/education-learning-resources/algorithm-learning-materials.md) — Provides a practical guide for mastering core programming logic through hands-on code execution and illustrations.
- [Algorithmic Visualizations](https://awesome-repositories.com/f/education-learning-resources/pedagogical-references/algorithmic-visualizations.md) — Provides a visual-first pedagogical approach using annotated diagrams to map abstract algorithmic logic into concrete mental representations.
- [Computer Science Education](https://awesome-repositories.com/f/education-learning-resources/technical-domain-education/computer-science-education.md) — Acts as a comprehensive educational resource for students and developers to learn algorithms and data structures.
- [Algorithmic Problem Solving](https://awesome-repositories.com/f/education-learning-resources/technical-domain-education/computer-science-education/algorithmic-problem-solving.md) — Explains core computer science algorithms and data structures to help developers master essential logic. ([source](https://github.com/egonSchiele/grokking_algorithms#readme))
- [Algorithms](https://awesome-repositories.com/f/education-learning-resources/algorithms.md) — Provides runnable code examples for fundamental sorting and searching algorithms. ([source](https://github.com/egonSchiele/grokking_algorithms#readme))
- [Instructional Materials](https://awesome-repositories.com/f/education-learning-resources/instructional-materials.md) — Provides instructional content and diagrams designed to help educators explain complex concepts.
- [Technical Concept Diagrams](https://awesome-repositories.com/f/education-learning-resources/learning-platforms-infrastructure/educational-infrastructure/educational-platforms/technical-concept-diagrams.md) — Distributes high-resolution illustrations to help instructors explain complex technical concepts. ([source](https://github.com/egonSchiele/grokking_algorithms#readme))
- [Software Engineering Fundamentals](https://awesome-repositories.com/f/education-learning-resources/technical-domain-education/computer-science-education/software-engineering-fundamentals.md) — Teaches essential problem solving techniques and computational thinking for professional development.
- [Progressive Learning Paths](https://awesome-repositories.com/f/education-learning-resources/progressive-learning-paths.md) — Organizes content into a logical sequence of increasing technical difficulty for learners.

### Scientific & Mathematical Computing

- [Algorithm Analysis](https://awesome-repositories.com/f/scientific-mathematical-computing/numerical-mathematical-foundations/algorithms-and-complexity/algorithm-analysis.md) — Facilitates the observation and analysis of algorithmic performance in a practical coding environment.