Projects sharing features with Js Algorithms

This repository provides a collection of fundamental data structures implemented in Java, designed to serve as an educational resource for understanding core computer science concepts. It includes standard implementations of trees, graphs, queues, and heaps, intended to help developers study the internal mechanics and performance characteristics of these structures. The library emphasizes the use of generics to maintain type safety across different data types and utilizes interface-driven design to ensure consistent method signatures. By building these components from scratch, the project dem

The repository provides a collection of solved algorithmic challenges and data structure implementations written in JavaScript, designed for technical interview preparation and computer science study. The content is organized as a curriculum covering standard programming problems without external dependencies. The material encompasses fundamental computer science data structures such as trees, heaps, tries, linked lists, and custom collections, alongside classical algorithms addressing arrays, strings, matrices, and graphs. Implementations also cover specialized algorithmic techniques includi

This project is a comprehensive library of fundamental computer science algorithms and data structures implemented in Kotlin. It serves as a toolkit for software engineering proficiency, providing a collection of standard computational techniques designed to operate on any data type through the use of language-level generics. The library distinguishes itself by emphasizing educational clarity and type-safe implementation. It utilizes interface-based abstractions to decouple algorithmic logic from specific data structures, while employing recursive problem decomposition and immutable state pat

This project is a comprehensive library of reference implementations for fundamental data structures and algorithms, designed to support technical interview preparation and software engineering assessments. It provides a structured collection of computational techniques for solving complex problems involving arrays, strings, graphs, trees, and mathematical analysis. The library distinguishes itself by offering specialized implementations for advanced topics, including concurrent programming patterns and geometric algorithms. It features thread-safe primitives for managing shared state and tas

This project is a computer science educational resource and a library of common data structures and algorithms implemented in Swift. It serves as a practical reference for studying complexity and efficiency through solved algorithmic problems and conceptual guides. The collection includes implementations of linear and hierarchical data structures, such as stacks, queues, linked lists, and trees. It covers a wide range of computational patterns, including graph and pathfinding implementations, mathematical numerical methods, and data compression techniques. The project also provides implement

This repository provides a collection of verified implementations for fundamental data structures and computational algorithms. It serves as both a practical toolkit for integrating standard procedures into software applications and a reference for understanding core computer science concepts. The library covers a wide range of operations, including sorting, searching, graph traversal, and geometric analysis. Each implementation is designed to be modular and reusable, utilizing generic type parametrization to decouple logic from specific data types while maintaining type safety. The project

This project is an educational resource providing a structured curriculum for mastering fundamental computer science concepts, algorithmic logic, and data structure implementation using Python. It serves as a comprehensive tutorial for understanding how to organize information effectively and solve complex computational challenges through systematic programming techniques. The repository focuses on the practical application of core data structures, including arrays, linked lists, hash tables, stacks, queues, and trees. It emphasizes the development of algorithmic problem-solving skills by cov

This repository provides a collection of fundamental computer science algorithms and data structures implemented in Go. It serves as a technical reference and educational resource, offering reusable modules for common computational tasks including data organization, graph analysis, and numerical operations. The library distinguishes itself through the application of idiomatic Go patterns, utilizing generics for type abstraction and interface-driven polymorphism to ensure compile-time type safety. It emphasizes algorithmic efficiency by employing in-place memory mutation to reduce allocations

This repository serves as an educational resource for mastering computer science fundamentals through a collection of verified data structure and algorithmic implementations. It functions as a library designed to support technical interview preparation and competitive programming training by providing foundational code for common logic puzzles and computational challenges. The project emphasizes modular design, utilizing independent class encapsulation to isolate components and facilitate granular testing. Implementations rely on pointer-based node linking and recursive problem decomposition

This project is a comprehensive collection of common computer science algorithms and data structures implemented in Swift. It serves as an educational reference and library for studying computational complexity, algorithmic logic, and data structure engineering through practical code examples. The repository provides a wide suite of data structure implementations, including various types of linked lists, heaps, hash tables, and an extensive range of hierarchical trees such as Red-Black, B-Tree, and Splay trees. It also covers diverse sorting and searching techniques, from basic bubble sort to

This is a collection of classic computer science algorithms and data structures implemented from scratch in JavaScript. The project provides reference implementations of fundamental concepts including sorting algorithms, binary search, linked lists, and binary search trees, all built as standalone pure functions with no external dependencies. The implementations cover a range of data structures, including singly-linked, doubly-linked, and circular linked lists with full traversal and mutation operations, as well as binary search trees supporting insertion, deletion, and search. Sorting algori

This repository is a collection of fundamental computer science algorithms and data structures designed for educational and reference purposes. It provides a multi-language library of verified implementations for common computational patterns, serving as a resource for developers to study and apply standard logic to software engineering problems. The project distinguishes itself by offering modular, language-agnostic models that demonstrate how to implement essential storage patterns and classic algorithms. By providing implementations for tasks such as graph traversal, searching, and sorting

This repository is a comprehensive educational resource for mastering fundamental computer science concepts through Python. It provides a structured collection of source code implementations for classic data structures and algorithms, serving as a practical guide for building technical proficiency and preparing for coding interviews. The project distinguishes itself by integrating visual aids and diagrams that map complex execution steps to clarify how data structures function. This visual approach is paired with a rigorous automated unit testing framework, which validates the correctness of

This project is a C++ algorithm implementation library and educational codebase that translates theoretical textbook pseudocode into verified, executable source code. It serves as a collection of reference implementations designed to demonstrate the practical application of classic computer science theories through a structured repository of computational algorithms. The library utilizes template-based generic programming and the C++ Standard Template Library to ensure implementations remain type-safe and flexible across different data types. To ensure correctness, the project includes an aut

This repository is a collection of fundamental data structures and standard algorithms implemented in C and C++. It serves as a technical reference for understanding and applying core computational patterns, providing verified code examples for tasks such as sorting, searching, and graph traversal. The project emphasizes low-level systems programming by utilizing manual memory management and pointer-based data linking to organize information. It employs a procedural approach to logic, relying on static type system enforcement to ensure performance and memory safety during the execution of com

This project is a Go algorithm implementation library designed for technical interview preparation. It provides a collection of common data structures and algorithmic solutions to help practice for software engineering coding assessments. The library includes a custom data structure collection featuring linked lists, stacks, queues, trees, and hash maps. It also implements specific algorithmic solutions, such as A* pathfinding for calculating the shortest path between nodes and a real-time stream processor for computing moving averages and running medians from continuous data inputs.

This project is a specialized collection of study guides, curriculum references, and implementation libraries designed for computer science academic certifications. It serves as a comprehensive study guide and preparation kit for the Chinese postgraduate computer science entrance examination, providing a curated reference for the core curriculum. The repository distinguishes itself by combining theoretical study materials with a practical data structure implementation library. This includes standard C code templates for fundamental structures such as linked lists, stacks, queues, and binary t

This project is a C# algorithms library and collection of data structures. It serves as a computer science reference providing practical implementations of classic sorting, searching, and graph traversal patterns. The library includes a dedicated string processing toolkit for analyzing text similarity, computing edit distances, and managing prefix-based searches. It also features a graph theory implementation for modeling network relationships and calculating shortest paths. The codebase covers a broad range of capabilities, including the management of linear and hierarchical collections, tr

This repository is a collection of optimized source code implementations for LeetCode algorithmic challenges. It serves as both a Python and Java algorithm library, providing solved computational problems for these two languages. The project focuses on data structure implementation, providing code examples that demonstrate how to use complex structures to resolve logical processing tasks. It covers a range of computational problems, including string searching and integer parsing. The repository is designed for competitive programming practice and technical interview preparation, with a focus

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 library provides a comprehensive collection of fundamental computer science primitives implemented in Go. It serves as a resource for both educational purposes and production applications, offering standard tools for organizing, searching, and sorting data. The implementation leverages language-level type parameters to ensure type safety while maintaining flexibility across different data types. It utilizes interface-driven polymorphism and pointer-based memory management to define common behaviors and handle complex structures. To optimize performance, the library employs in-place data

This repository is a collection of solved algorithmic problems and data structure exercises designed for technical interview preparation. It serves as a polyglot reference implementation, providing a set of solved exercises based on a standard textbook to help candidates master the logic and complexity analysis required for coding tests. The project implements the same algorithmic logic across multiple programming languages to demonstrate platform-independent problem solving. This polyglot approach allows for the comparison of implementations across different tech stacks to highlight recurrin

This repository serves as a collection of common coding challenges and data structure implementations designed to assist software engineers in preparing for technical interviews. It functions as a study guide for mastering fundamental computer science concepts and standard algorithmic patterns using Python. The project organizes source files into a hierarchical directory structure, grouping problems by category or data structure type to facilitate navigation. By maintaining these implementations as raw script files, the repository allows users to execute code directly within their local Pytho

CodingInterviewChinese2 is a collection of source code implementations for common algorithmic challenges and data structures designed for technical coding interviews. It serves as an algorithm interview solution set and a technical interview study guide, providing C++ programming examples that demonstrate the logic and efficiency required for software engineering roles. The repository functions as a competitive programming study guide and a data structures reference. It provides solved programming exercises and technical interview code samples to help users master the problem-solving patterns

This repository serves as an educational resource for computer science concepts, providing a collection of fundamental data structures and algorithmic patterns implemented in Python. It functions as a programming reference for developers seeking to understand standard software engineering patterns and data manipulation strategies. The project focuses on the construction of essential storage formats, including arrays, graphs, hash tables, linked lists, stacks, and queues. It also provides implementations for standard algorithmic techniques such as dynamic programming, recursion, sorting, and g

This project is an automated code assessment tool and educational platform designed for frontend interview preparation. It provides a curated collection of technical challenges that allow developers to practice JavaScript mechanics, algorithmic problem solving, and core software engineering concepts. The platform utilizes a component-driven interface to organize and present educational content, which is managed through markdown-based modeling. It distinguishes itself by integrating automated evaluation systems that analyze user-submitted logic through abstract syntax tree analysis and sandbox

This project is an algorithm template library and coding interview study guide providing reusable code patterns for common data structures and algorithms. It serves as a reference for optimized strategies and a structured learning path to build proficiency in algorithmic problem solving and competitive programming. The library focuses on standardized implementations of key algorithmic patterns, including sliding windows, backtracking, dynamic programming, and binary search. It provides specific templates for managing binary search trees, searching rotated sorted arrays, and executing divide-a