# Algorithm practice platform

> AI-ranked search results for `interview problem solving` on awesome-repositories.com — ordered by an LLM for relevance, best match first. 73 total matches; showing the top 30.

Explore on the web: https://awesome-repositories.com/q/interview-problem-solving

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [this search on awesome-repositories.com](https://awesome-repositories.com/q/interview-problem-solving).**

## Results

- [yangshun/tech-interview-handbook](https://awesome-repositories.com/repository/yangshun-tech-interview-handbook.md) (140,330 ⭐) — This repository provides a comprehensive collection of educational materials and strategies designed to assist technical professionals in preparing for the various stages of the software engineering interview process. It covers core competencies including algorithmic problem-solving, behavioral interview techniques, system design architecture, and general career development.

The content is organized into structured study plans and tactical guides that address specific interview formats, ranging from initial phone screens to final onsite sessions. It includes resources for mastering data struc
- [neetcode-gh/leetcode](https://awesome-repositories.com/repository/neetcode-gh-leetcode.md) (6,398 ⭐) — This project is a curated collection of solved algorithmic challenges and reference implementations. It serves as a study guide for software engineering, providing a library of data structure and algorithm problems used to analyze efficient problem-solving techniques.

The repository functions as a solution reference for coding challenges across multiple programming languages. It includes source code examples and conceptual hints designed for technical interview preparation and the study of common coding patterns.

The content is organized as a static source code repository with language-speci
- [pegasuswang/python_data_structures_and_algorithms](https://awesome-repositories.com/repository/pegasuswang-python-data-structures-and-algorithms.md) (3,078 ⭐) — 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
- [blakeembrey/code-problems](https://awesome-repositories.com/repository/blakeembrey-code-problems.md) (3,803 ⭐) — This repository is a curated collection of algorithmic challenges and programming exercises designed to support software engineering skill development and technical interview preparation. It provides a structured library of common coding tasks, each organized within a hierarchical directory system that encapsulates specific problem requirements and associated assets.

The project distinguishes itself by maintaining multi-language reference implementations for each problem, allowing for the direct comparison of syntax and idiomatic approaches across different programming environments. This reso
- [lovebabbar/codehelp-dsa-busted-series](https://awesome-repositories.com/repository/lovebabbar-codehelp-dsa-busted-series.md) (3,742 ⭐) — This project is a computer science education resource and data structures and algorithms implementation library. It provides a structured collection of solved programming exercises and logic templates designed for educational study and technical interview preparation.

The repository functions as an algorithmic pattern reference and study guide, offering a curated set of standard implementations used in software engineering coding assessments. It focuses on the practical application of core programming concepts to help students understand how to organize data and solve complex computational pr
- [julycoding/the-art-of-programming-by-july](https://awesome-repositories.com/repository/julycoding-the-art-of-programming-by-july.md) (21,506 ⭐) — This project is a comprehensive educational repository providing study guides, a competitive programming curriculum, and technical interview resources. It serves as a reference for learning fundamental programming methods, algorithmic logic, and data structure implementations.

The repository features multi-language implementation references that allow for the comparison of algorithmic solutions across different programming languages. This approach enables the analysis of performance and implementation details through cross-language code comparisons.

The educational content covers computer sc
- [krahets/leetcode-book](https://awesome-repositories.com/repository/krahets-leetcode-book.md) (8,072 ⭐) — LeetCode-Book is a curated study resource and markdown algorithm guide designed for technical interview preparation. It serves as a multi-language code library that provides solutions and explanations for coding challenges to help users study data structures and algorithmic principles.

The project is delivered as a Docusaurus documentation website, which transforms a directory of version-controlled markdown files into a structured and searchable online technical resource.

The repository covers an algorithm study workflow that includes tracking LeetCode problems and following curated study pl
- [youngyangyang04/leetcode-master](https://awesome-repositories.com/repository/youngyangyang04-leetcode-master.md) (61,690 ⭐) — 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
- [leeguandong/interview-code-practice-python](https://awesome-repositories.com/repository/leeguandong-interview-code-practice-python.md) (1,575 ⭐) — 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
- [thealgorithms/go](https://awesome-repositories.com/repository/thealgorithms-go.md) (18,085 ⭐) — This repository serves as a comprehensive collection of standard computer science algorithms and data structures implemented in the Go programming language. It functions as an educational resource for developers to study idiomatic code examples and master fundamental computational logic through practical, hands-on implementation.

The project provides a reference for building and utilizing essential storage containers, such as linked lists, heaps, and hash maps, to organize information efficiently. It also includes a suite of proven mathematical algorithms for performing complex numerical calc
- [jeantimex/javascript-problems-and-solutions](https://awesome-repositories.com/repository/jeantimex-javascript-problems-and-solutions.md) (541 ⭐) — 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
- [nas5w/interview-guide](https://awesome-repositories.com/repository/nas5w-interview-guide.md) (4,267 ⭐) — This project is a comprehensive set of roadmaps and curricula designed for technical, behavioral, and architectural interview mastery. It provides structured guides, frameworks, and checklists for mastering algorithmic coding, system design, and behavioral questions.

The resource is distinguished by specialized study paths, including a frontend engineering curriculum and a dedicated system design framework for architecting scalable systems. It also features a behavioral interview playbook that utilizes a standardized response method to align professional experience with company values.

The g
- [mgechev/google-interview-preparation-problems](https://awesome-repositories.com/repository/mgechev-google-interview-preparation-problems.md) (3,163 ⭐) — This repository is a collection of solved coding challenges and technical problems designed to assist software engineers in preparing for technical job interviews. It serves as a structured archive of problem-solving patterns and solutions intended to help users master the technical assessments required by major technology companies.

The project focuses on strengthening fundamental computer science knowledge by implementing and refining solutions to complex logic problems frequently encountered in professional engineering interviews. It provides a curated set of programming exercises that emp
- [careercup/ctci-6th-edition-python](https://awesome-repositories.com/repository/careercup-ctci-6th-edition-python.md) (5,199 ⭐) — This project is a technical interview study guide and algorithm reference library. It provides a collection of Python implementations for algorithmic challenges and data structure problems common to software engineering coding assessments.

The repository serves as a resource for coding interview solutions, featuring documented code samples for sorting, searching, and optimization algorithms. It includes an automated solution test suite to verify the correctness of these implementations across various edge cases.

The project emphasizes the use of idiomatic Python patterns and standard library
- [mtrajk/coding-problems](https://awesome-repositories.com/repository/mtrajk-coding-problems.md) (3,379 ⭐) — This repository serves as a comprehensive collection of algorithmic problem solutions and educational resources designed to support software engineering education and technical interview preparation. It functions as a structured knowledge base for mastering fundamental computer science concepts, including data structures and common programming challenges.

The project provides a curated index of learning materials, such as university courses and textbooks, alongside documented code implementations. By organizing these solutions into a version-controlled format, it allows users to study idiomat
- [zhedahht/codinginterviewchinese2](https://awesome-repositories.com/repository/zhedahht-codinginterviewchinese2.md) (5,405 ⭐) — 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
- [brave-people/brave-tech-interview](https://awesome-repositories.com/repository/brave-people-brave-tech-interview.md) (4,461 ⭐) — This project is a technical interview study guide and computer science knowledge base. It provides a curated collection of technical interview questions and expert explanations focused on preparing for assessments at global IT companies.

The repository serves as a coding interview roadmap for mastering algorithmic challenges and complexity analysis, alongside a software architecture reference for design principles and system design strategies. It also includes a web security curriculum covering authentication methods, cryptographic concepts, and common vulnerabilities.

Content covers compute
- [notfound9/interviewguide](https://awesome-repositories.com/repository/notfound9-interviewguide.md) (4,002 ⭐) — This project is a technical interview study guide and curated knowledge base designed for software engineering preparation. It provides a collection of questions and answers focused on computer science fundamentals, algorithmic problem solving, and system design.

The resource includes a dedicated Java backend knowledge base covering the Java Virtual Machine and enterprise frameworks, as well as a distributed systems reference for exploring database consistency, caching strategies, and high-concurrency architectural trade-offs.

The content covers a broad range of engineering domains, includin
- [labuladong/fucking-algorithm](https://awesome-repositories.com/repository/labuladong-fucking-algorithm.md) (134,160 ⭐) — This project is a comprehensive educational platform designed to facilitate the mastery of computer science algorithms and data structures. It provides a structured learning curriculum, a library of practice problems, and an integrated toolkit that supports both academic study and competitive programming preparation. By combining theoretical roadmaps with practical implementation exercises, the system enables users to build a deep understanding of core computational concepts.

The platform distinguishes itself through its focus on integrated learning and visual clarity. It offers AI-powered gu
- [omonimus1/competitive-programming](https://awesome-repositories.com/repository/omonimus1-competitive-programming.md) (978 ⭐) — This repository serves as a comprehensive resource for competitive programming and technical interview preparation. It provides a structured collection of source code implementations for fundamental data structures and classic algorithmic problems, designed to help developers master core computer science concepts and efficient coding strategies.

Beyond standard problem-solving, the project distinguishes itself by integrating software design patterns into its algorithmic implementations. It demonstrates how to apply structural and behavioral patterns—such as decorators, observers, and singleto
- [kelvins/algorithms-and-data-structures](https://awesome-repositories.com/repository/kelvins-algorithms-and-data-structures.md) (1,084 ⭐) — 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
- [apachecn/interview](https://awesome-repositories.com/repository/apachecn-interview.md) (8,944 ⭐) — This project is a comprehensive knowledge base and study resource designed for mastering technical interviews. It provides structured guides, roadmaps, and curricula focused on data structures, algorithms, system design, and frontend engineering to help candidates prepare for software engineering screenings.

The repository distinguishes itself by offering a holistic approach to professional advancement. Beyond technical drills, it includes a career development handbook covering resume optimization, salary benchmarking, and strategic negotiation coaching. It also provides detailed methodologie
- [forthespada/interviewguide](https://awesome-repositories.com/repository/forthespada-interviewguide.md) (5,816 ⭐) — InterviewGuide is a comprehensive technical interview preparation platform that covers the full spectrum of software engineering recruitment, from foundational computer science concepts through to offer negotiation. It provides structured learning paths across algorithms, operating systems, databases, networking, and programming languages, with a particular emphasis on C++ and Go. The platform aggregates real interview experiences and company-specific questions from major tech employers, offering candidates a searchable database of past written exam problems and detailed accounts of actual int
- [krishnadey30/leetcode-questions-companywise](https://awesome-repositories.com/repository/krishnadey30-leetcode-questions-companywise.md) (19,159 ⭐) — This repository is a structured collection of algorithmic coding challenges curated to assist with technical interview preparation. It functions as a comprehensive dataset that organizes programming problems based on the specific companies that have historically included them in their assessment processes.

The project distinguishes itself by categorizing these challenges according to both the hiring organization and the frequency of problem appearance. This approach allows users to prioritize high-yield practice material, focusing their study efforts on the topics most relevant to their targe
- [kdn251/interviews](https://awesome-repositories.com/repository/kdn251-interviews.md) (64,941 ⭐) — This project serves as a centralized knowledge base and study guide for mastering computer science fundamentals and technical interview preparation. It provides a structured collection of algorithmic implementations, data structure guides, and theoretical references designed to support professional development and problem-solving skills.

The repository distinguishes itself through a taxonomy-based organization that maps complex concepts into a hierarchical structure. It standardizes the expression of abstract data structures and algorithms using a consistent programming language, with impleme
- [orrsella/soft-eng-interview-prep](https://awesome-repositories.com/repository/orrsella-soft-eng-interview-prep.md) (2,233 ⭐) — This project is a comprehensive study guide and reference repository designed to prepare software engineers for technical interviews. It provides a structured collection of fundamental computer science concepts, algorithm implementations, and system design principles, serving as a centralized resource for reviewing the core knowledge required for engineering assessments.

The repository distinguishes itself by offering language-agnostic concept modeling and modular knowledge categorization, which allows candidates to navigate complex topics efficiently. It covers a broad spectrum of technical
- [krahets/hello-algo](https://awesome-repositories.com/repository/krahets-hello-algo.md) (127,271 ⭐) — This project is an educational resource and reference library designed to teach fundamental data structures and algorithmic problem-solving. It provides a structured pedagogical framework that organizes complex technical concepts into a logical progression, helping learners understand how data is organized, stored, and processed to solve computational problems efficiently.

The repository distinguishes itself through a multi-language codebase that maintains parallel, consistent implementations of core algorithms and data structures across various programming languages. It bridges the gap betwe
- [jwasham/coding-interview-university](https://awesome-repositories.com/repository/jwasham-coding-interview-university.md) (353,639 ⭐) — This project is a comprehensive educational roadmap designed to guide software engineers through the mastery of computer science fundamentals and technical interview preparation. It provides a structured, dependency-aware learning path that organizes complex computing concepts into a hierarchical curriculum, enabling users to build a professional engineering foundation through iterative study and practical implementation.

The curriculum distinguishes itself by integrating theoretical knowledge with professional development, offering a unified index of cross-referenced resources including book
- [careercup/ctci-6th-edition](https://awesome-repositories.com/repository/careercup-ctci-6th-edition.md) (11,463 ⭐) — 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
- [thealgorithms/python](https://awesome-repositories.com/repository/thealgorithms-python.md) (221,992 ⭐) — This project is a comprehensive repository of verified computational implementations designed to serve as an educational resource for computer science and algorithmic problem solving. It provides a structured collection of code examples that cover fundamental data structures, mathematical operations, and core programming concepts, allowing users to study the logic and complexity behind various computational methods.

The repository distinguishes itself through a modular, reference-based implementation pattern that organizes code into logical namespaces. This approach facilitates independent ex