Algorithmen und Datenstrukturen in JavaScript

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 learne

This project is a computer science educational resource and library providing implementations of data structures and algorithms in JavaScript. It serves as an algorithm implementation reference and a toolkit for building foundational data containers, including a collection of sorting algorithms and a guide for learning time and space complexity. The project differentiates itself by pairing class-based implementations with Big O analysis to illustrate asymptotic complexity. It includes a non-linear data structure toolkit featuring self-balancing trees, hash maps, and graphs, alongside comparis

This project is a JavaScript algorithm library and computer science reference. It provides a collection of standard computational logic patterns and data structure implementations, including linked lists, trees, and graphs, for both educational and practical use. The codebase serves as a technical interview study guide, offering a practical resource for practicing common coding challenges and data structure manipulations. It is designed for computer science education, allowing users to study how classic algorithms work by reviewing and running implementations of established logic patterns. T

This project is a library and educational resource providing implementations of foundational computer science data structures and algorithms written in JavaScript and TypeScript. It serves as a reference for executing standard sorting, searching, and recursive patterns using modern web technologies. The collection includes typed implementations for both basic containers, such as stacks, queues, and linked lists, and advanced organizational patterns, including trees, heaps, tries, and graphs. The material covers algorithmic analysis and problem solving through the use of Big O notation to eva

This repository is a comprehensive collection of data structures and algorithms implemented in JavaScript, designed primarily as an educational resource for computer science study and technical interview preparation. It provides modular implementations of fundamental programming concepts, allowing developers to explore algorithmic logic and data organization through self-contained, verifiable code examples. The library distinguishes itself by pairing every implementation with formal Big O notation, providing predictable insights into time and space scaling requirements. Each algorithm is stru

This project is a curated educational resource and solution repository for algorithmic challenges, specifically focused on LeetCode problems. It serves as a technical reference for common data structures and algorithmic patterns, providing verified code implementations across multiple programming languages alongside detailed logic and complexity analysis. The repository functions as a comprehensive study guide for competitive programming and technical interview preparation. It includes specialized learning tools such as an Anki flashcard dataset for spaced repetition and a browser extension t

This project is an educational code repository providing a curated collection of common algorithms and data structures implemented in JavaScript. It serves as a reference library and a study resource for learning computer science concepts and foundational programming principles. The repository focuses on the practical implementation of standard data structures and algorithmic patterns. It provides a codebase for studying computational problem-solving and practicing the technical requirements often found in software engineering interviews. The codebase covers core data structure implementatio

This repository is a curated collection of JavaScript implementations for standard algorithmic challenges and technical interview problems. It serves as a structured learning resource for developers to master fundamental data structures and computational logic through the study of verified code solutions. The project distinguishes itself by organizing solutions according to standardized algorithmic patterns, allowing for a focused approach to mastering recurring problem-solving techniques. By categorizing implementations by domain and technical approach, it provides a clear path for navigatin

This project is a comprehensive algorithmic interview resource and coding practice repository. It provides a structured curriculum of programming challenges and source code implementations designed to help software engineers master efficient problem-solving techniques and prepare for technical assessments. The repository functions as a curated roadmap, organizing computer science fundamentals by data structure and algorithm topic to facilitate systematic skill development. By moving away from random practice, it supports career advancement training for those seeking to improve their professio

This repository is a curated guide and implementation library of coding patterns used to solve data structures and algorithms problems. It serves as a technical interview study resource, providing a comprehensive set of strategies and computational logic examples for optimizing time and space complexity. The project focuses on standardized algorithmic patterns, including sliding windows, two pointers, and dynamic programming. It features specific implementations for a wide range of challenges, such as LeetCode problem solutions and specialized techniques like cyclic sort and bitwise XOR opera

This repository serves as a comprehensive educational resource and technical reference for implementing fundamental data structures and algorithms using JavaScript. It provides a structured guide to mastering core computer science concepts, focusing on the practical application of data organization techniques and problem-solving strategies within the JavaScript ecosystem. The materials cover the implementation of essential storage patterns, including linked lists, trees, and graphs, alongside the analysis of algorithmic efficiency. By evaluating execution time and memory usage through asympto

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