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Back to debaganov/interview_questions

Projects sharing features with Interview Questions

30 open-source projects similar to debaganov/interview_questions, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.

  • datawhalechina/daily-interviewdatawhalechina avatar

    datawhalechina/daily-interview

    3,719View on GitHub↗

    This project is a technical interview study guide and knowledge base designed for software engineering and AI roles. It provides curated learning paths and a collection of high-frequency questions to help candidates prepare for technical assessments. The resource includes specialized study guides for machine learning, covering supervised and unsupervised learning, computer vision, and natural language processing. It also serves as a system design reference, analyzing architectural patterns, scalability trade-offs, and distributed infrastructure components. Beyond technical theory, the projec

    cvinterview-questionsllm
    View on GitHub↗3,719
  • hxu296/leetcode-company-wise-problems-2022hxu296 avatar

    hxu296/leetcode-company-wise-problems-2022

    11,040View on GitHub↗

    This repository is a structured database of coding interview problems designed to support software engineering career development. It functions as a centralized knowledge base that aggregates technical practice questions, mapping them to specific employer requirements and recurring computer science topics. The project distinguishes itself by clustering interview questions into company-specific collections and labeling them by technical domain. This organization allows users to identify recurring algorithmic patterns and analyze the unique testing styles associated with different organizations

    Jupyter Notebookamazon-interviewfacebook-interviewgoogle-interview
    View on GitHub↗11,040
  • notfound9/interviewguideNotFound9 avatar

    NotFound9/interviewGuide

    4,002View on GitHub↗

    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

    Javaalgorithmsbackendcode-interview
    View on GitHub↗4,002

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  • wearesoft/tech-interviewWeareSoft avatar

    WeareSoft/tech-interview

    4,827View on GitHub↗

    This project is a technical interview study guide and computer science learning path. It serves as a structured curriculum and software engineering knowledge base designed to help users prepare for engineering interviews by mastering core technical concepts. The curriculum covers a wide range of domains, including computer science fundamentals, programming language mastery, and software architecture learning. It provides guidance on secure application development and professional development workflows. The educational content includes modules on data structures, networking, database internal

    View on GitHub↗4,827
  • nas5w/interview-guidenas5w avatar

    nas5w/interview-guide

    4,267View on GitHub↗

    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

    Astrointerviewinterview-preparationleetcode
    View on GitHub↗4,267
  • mtrajk/coding-problemsMTrajK avatar

    MTrajK/coding-problems

    3,379View on GitHub↗

    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

    Pythonalgorithmscoding-problemdata-structures
    View on GitHub↗3,379
  • darcyclarke/front-end-developer-interview-questionsdarcyclarke avatar

    darcyclarke/Front-end-Developer-Interview-Questions

    60,886View on GitHub↗

    This project is a curated repository of specialized technical questions and assessment guides used to evaluate proficiency in core web technologies. It serves as a question bank and assessment guide for testing knowledge of browser APIs, CSS, JavaScript, and HTTP protocols. The repository provides a technical skill evaluation framework consisting of open-ended prompts. These are used for front-end candidate evaluation, standardizing technical hiring workflows, and facilitating interview preparation for web developers. The content is organized via a category-driven information architecture an

    Nunjucks
    View on GitHub↗60,886
  • kamranahmedse/design-patterns-for-humanskamranahmedse avatar

    kamranahmedse/design-patterns-for-humans

    47,878View on GitHub↗

    This project is a comprehensive educational resource designed to help developers master object-oriented design and architectural patterns. It serves as a structured reference for understanding how to organize classes and objects to improve code maintainability, resolve recurring development challenges, and prepare for technical engineering assessments. The guide covers the three primary categories of design patterns: creational, structural, and behavioral. Each pattern is explained through practical examples that demonstrate how to manage object instantiation, simplify complex interfaces, and

    architecturecomputer-sciencedesign-patterns
    View on GitHub↗47,878
  • xbox1994/java-interviewxbox1994 avatar

    xbox1994/Java-Interview

    5,200View on GitHub↗

    Java-Interview is a collection of technical reference guides and study materials designed for Java backend developer interviews. It provides a comprehensive knowledge base covering the Java Virtual Machine, multi-threaded programming, and distributed systems. The project differentiates itself by combining technical content with interview strategy frameworks. It includes structured templates for articulating project experiences and personal introductions, alongside high-frequency question sets and scenario-driven design patterns. The resource covers backend system design for high-concurrency

    View on GitHub↗5,200
  • whx123/javahomewhx123 avatar

    whx123/JavaHome

    4,678View on GitHub↗

    JavaHome is a backend engineering study resource and learning roadmap for Java developers. It provides a structured guide for mastering core language features and backend engineering best practices. The project serves as a technical interview preparation guide, featuring a collection of common interview questions and real-world exam samples. It focuses on developing professional skills in Java backend engineering, specifically targeting the ability to build scalable distributed systems. The material covers backend performance optimization, including the implementation of clean coding standar

    View on GitHub↗4,678
  • indy256/full-stack-developer-interview-questions-and-answersindy256 avatar

    indy256/Full-stack-Developer-Interview-Questions-and-Answers

    2,713View on GitHub↗

    This repository serves as a comprehensive knowledge base for software engineering interview preparation. It provides a curated collection of technical questions and answers designed to assist developers in reviewing core concepts across the entire software development stack. The project covers a broad range of topics, including full-stack engineering principles, programming language proficiency, and software architecture design. By focusing on high-level system design patterns and technical trade-offs, the content helps candidates prepare for both coding and architectural discussions during p

    developmentfull-stackinterview-questions
    View on GitHub↗2,713
  • onthecodepath/ios-interview-questionsonthecodepath avatar

    onthecodepath/iOS-Interview-Questions

    987View on GitHub↗

    This project is a curated collection of technical questions and answers designed to assist developers in preparing for software engineering interviews within the iOS ecosystem. It serves as a structured study tool for evaluating proficiency in mobile application architecture, system design, and core programming concepts. The repository provides a comprehensive reference for essential development topics, including memory management, concurrency, design patterns, and data persistence. By covering these foundational areas, it enables users to review common industry interview subjects and test th

    interview-practiceinterview-questionsios
    View on GitHub↗987
  • faqguru/faqguruFAQGURU avatar

    FAQGURU/FAQGURU

    5,064View on GitHub↗

    FAQGURU is a technical interview question bank and coding interview study guide. It serves as a software engineering career resource and programming language reference, providing a curated collection of common technical questions and concise answers. The project functions as a markdown knowledge base that pairs theoretical explanations with practical implementation examples across various programming languages and frameworks. These resources focus on algorithmic and architectural patterns used during technical hiring processes. Content is organized via a nested directory hierarchy and a cate

    angularjsaspcpp
    View on GitHub↗5,064
  • top4ikru/java-interviewTop4IkRu avatar

    Top4IkRu/java-interview

    243View on GitHub↗

    This repository serves as a comprehensive knowledge base and study resource for software developers preparing for technical interviews. It provides a structured collection of questions, answers, and explanations focused on core Java programming principles and common industry interview patterns. The project facilitates professional development by offering a curated set of algorithmic coding challenges and technical assessments. By organizing these materials into a hierarchical directory of markdown files, the repository enables users to review fundamental language concepts and practice problem

    Java
    View on GitHub↗243
  • shfshanyue/daily-questionshfshanyue avatar

    shfshanyue/Daily-Question

    5,126View on GitHub↗

    Daily-Question is a frontend interview preparation platform and technical knowledge base. It provides a structured engineering curriculum consisting of high-frequency interview questions and core technical topics organized by increasing difficulty. The platform includes an interview experience archive that collects real-world reports from technology companies to help users analyze hiring patterns and salary benchmarks. It also serves as a library for web engineering concepts and network protocols, utilizing interactive code examples and diagrams. The project covers broad capability areas inc

    Vuedevopsfe-interviewfrontend-interview
    View on GitHub↗5,126
  • maximabramchuck/awesome-interviewsMaximAbramchuck avatar

    MaximAbramchuck/awesome-interviews

    83,140View on GitHub↗

    This project is a curated repository of technical interview questions and a directory of study resources designed for professional software engineering assessments. It serves as a reference guide for interview patterns and common domain questions across various programming languages and technology stacks. The collection organizes coding and computer science questions by language and framework to assist with technical interview preparation and coding assessment study. It covers a wide range of programming domains and system design patterns to support software engineering career growth.

    View on GitHub↗83,140
  • junh0328/prepare_frontend_interviewjunh0328 avatar

    junh0328/prepare_frontend_interview

    1,725View on GitHub↗

    This project is a comprehensive technical interview study resource designed to help developers prepare for engineering job assessments. It functions as a structured guide that curates essential computer science fundamentals, web development standards, and programming language concepts into a format optimized for professional evaluation. The repository distinguishes itself by providing strategic guidance on architectural decision-making and professional communication. Beyond simple question-and-answer pairs, it offers frameworks for articulating experience during interviews and suggests profes

    JavaScriptfrontendhandbook
    View on GitHub↗1,725
  • shishan100/java-interview-advancedshishan100 avatar

    shishan100/Java-Interview-Advanced

    4,140View on GitHub↗

    This project is a technical interview course and study guide focused on senior-level Java engineering. It provides a curriculum centered on system design, high-concurrency engineering, and the construction of distributed systems. The resources include a distributed database strategy guide and a microservices architecture reference. These materials cover specific design patterns for message queues, distributed systems, and the implementation of reliable asynchronous communication. The content covers broad capability areas including search engine architecture, distributed cache optimization, a

    HTML
    View on GitHub↗4,140
  • brave-people/brave-tech-interviewbrave-people avatar

    brave-people/brave-tech-interview

    4,461View on GitHub↗

    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

    View on GitHub↗4,461
  • resumejob/interview-questionsresumejob avatar

    resumejob/interview-questions

    3,270View on GitHub↗

    This project is a structured repository of technical interview questions and professional development resources designed for software engineering career advancement. It serves as a comprehensive database of high-frequency assessment materials sourced from real-world candidate experiences at major global technology companies. The collection is organized into a hierarchical directory structure categorized by company names and technical domains to facilitate navigation. By utilizing plain text serialization and static markdown content, the project ensures that all interview data remains human-re

    interviewinterview-preparationinterview-questions
    View on GitHub↗3,270
  • apachecn/interviewapachecn avatar

    apachecn/Interview

    8,944View on GitHub↗

    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

    Jupyter Notebookinterviewkaggleleetcode
    View on GitHub↗8,944
  • scutan90/deeplearning-500-questionsscutan90 avatar

    scutan90/DeepLearning-500-questions

    57,436View on GitHub↗

    This project is a comprehensive study guide and knowledge base for deep learning, machine learning, and the associated mathematics required for artificial intelligence. It functions as a curated collection of technical questions and answers designed to help users study fundamental theories and practical applications. The repository serves as a technical interview preparation resource by aggregating industry-standard questions and core knowledge points. It provides a structured reference for reviewing neural network architectures and specific techniques used in computer vision, such as object

    JavaScript
    View on GitHub↗57,436
  • yangshun/front-end-interview-handbookyangshun avatar

    yangshun/front-end-interview-handbook

    43,961View on GitHub↗

    This project is a curated guide for engineers preparing for front end engineering roles. It serves as a technical interview handbook and study resource, providing a collection of questions and answers focused on web technology and interview strategy. The resource covers front end system design and architectural patterns for scalable user interfaces. It also includes analysis of company-specific interview formats and patterns to assist in creating tailored study plans. The materials provide a review of web technology, including browser internals, web standards, and core scripting languages. T

    MDXcsscss-questionsfront-end
    View on GitHub↗43,961
  • forthespada/interviewguideforthespada avatar

    forthespada/InterviewGuide

    5,816View on GitHub↗

    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

    codecppdata-structures-and-algorithms
    View on GitHub↗5,816
  • cgao96/leetcode_101cgao96 avatar

    cgao96/leetcode_101

    9,974View on GitHub↗

    leetcode_101 is a curated library of algorithmic problem sets and a repository of solved LeetCode challenges. It serves as a technical interview guide by providing code implementations for common software engineering interview questions. The project supports a technical interview preparation workflow, focusing on LeetCode problem solving and the study of standardized code solutions for data structures and algorithms. It is designed to facilitate coding skill development and the study of technical interview problems. The repository utilizes markdown-based content authoring and a static-file d

    algorithmsdata-structuresinterview
    View on GitHub↗9,974
  • hit-alibaba/interviewHIT-Alibaba avatar

    HIT-Alibaba/interview

    5,253View on GitHub↗

    This project is a comprehensive technical interview preparation guide and computer science knowledge base. It serves as a structured study resource designed to help software engineers review core engineering concepts and prepare for professional coding assessments. The repository focuses on a wide array of theoretical and practical domains, including detailed references for mobile application architecture and operating system fundamentals. It provides curated materials on software architecture patterns and network protocol analysis to support professional development. The content covers foun

    Shellinterviewinterview-preparation
    View on GitHub↗5,253
  • yuanguangxin/leetcodeyuanguangxin avatar

    yuanguangxin/LeetCode

    7,480View on GitHub↗

    This project is a LeetCode solution repository and algorithm implementation library. It serves as a technical interview study guide, providing a collection of solved programming problems and algorithmic implementations. The repository focuses on coding practice management and algorithm study workflows. It organizes curated coding questions and answers to assist in preparing for technical job evaluations and software engineering assessments. The content is managed through a git-based system using markdown documentation and a category-based directory structure. This allows for the organization

    Javaleetcodeleetcode-classificationleetcode-java
    View on GitHub↗7,480
  • 0voice/interview_internal_reference0voice avatar

    0voice/interview_internal_reference

    37,235View on GitHub↗

    This project is a comprehensive technical interview question bank and reference library designed for software engineering roles at major technology companies. It serves as a study guide and knowledge base covering the core principles of high-performance systems programming and computer science theory. The collection focuses on deep technical domains, including C++ language mastery, distributed systems design, and database engineering. It provides detailed material on consensus protocols, cluster coordination, and the architectural differences between SQL and NoSQL implementations. The resour

    Pythoncpuhigh-performanceinterview
    View on GitHub↗37,235
  • interviewmap/cs-interview-knowledge-mapInterviewMap avatar

    InterviewMap/CS-Interview-Knowledge-Map

    18,271View on GitHub↗

    This project is a structured knowledge map and study guide for computer science technical interviews. It serves as a roadmap and reference for core fundamentals, organizing a wide range of technical topics into a categorized guide for developer learning. The knowledge base covers a broad domain of computer science, including data structures, algorithms, and networking protocols. It specifically provides detailed materials for frontend engineering, focusing on JavaScript, browser internals, security, and performance optimization. The project organizes these concepts into a visual knowledge gr

    algorithmsbloginterview
    View on GitHub↗18,271
  • krishnadey30/leetcode-questions-companywisekrishnadey30 avatar

    krishnadey30/LeetCode-Questions-CompanyWise

    19,159View on GitHub↗

    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

    View on GitHub↗19,159