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Awesome GitHub RepositoriesProgramming Interview Questions

Collections of technical questions and answers focused on programming language concepts and software engineering fundamentals.

Distinguishing note: No candidates provided; minting under Education umbrella to house technical interview preparation content.

Explore 6 awesome GitHub repositories matching education & learning resources · Programming Interview Questions. Refine with filters or upvote what's useful.

Awesome Programming Interview Questions GitHub Repositories

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  • xiaolincoder/cs-basexiaolincoder 的头像

    xiaolincoder/CS-Base

    18,024在 GitHub 上查看↗

    CS-Base is a comprehensive educational platform and technical repository designed to support software engineers in mastering backend architecture, artificial intelligence engineering, and career development. It functions as a centralized knowledge hub that combines illustrated theoretical tutorials with practical, project-based learning to bridge the gap between foundational computer science concepts and professional industry requirements. The project distinguishes itself by integrating a robust career mentorship framework with advanced AI engineering resources. It provides users with tools f

    Compiles extensive collections of technical interview questions across multiple programming languages and domains.

    ccppgolang
    在 GitHub 上查看↗18,024
  • arialdomartini/back-end-developer-interview-questionsarialdomartini 的头像

    arialdomartini/Back-End-Developer-Interview-Questions

    16,574在 GitHub 上查看↗

    This project is an open-source knowledge repository that serves as a comprehensive technical interview question bank for backend engineering roles. It provides a structured resource for hiring managers and candidates to evaluate proficiency in software design, architectural patterns, and core engineering principles through a curated collection of discussion topics and coding challenges. The repository functions as a programming paradigm evaluation tool, enabling the assessment of a candidate's understanding of object-oriented, functional, and procedural techniques. It distinguishes itself by

    Provides a structured set of interview questions to evaluate a candidate's proficiency in different programming paradigms.

    在 GitHub 上查看↗16,574
  • careercup/ctci-6th-editioncareercup 的头像

    careercup/CtCI-6th-Edition

    11,463在 GitHub 上查看↗

    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

    Delivers a comprehensive collection of technical questions and answers focused on software engineering fundamentals.

    Javaalgorithmscareercupcracking-the-coding-interview
    在 GitHub 上查看↗11,463
  • youssefhosni/data-science-interview-questions-answersyoussefHosni 的头像

    youssefHosni/Data-Science-Interview-Questions-Answers

    5,497在 GitHub 上查看↗

    This repository is a curated study resource of interview questions and answers for data science roles. It covers the core domains of machine learning, statistics, Python programming, SQL databases, deep learning, and algorithmic problem solving. The content is organized as static Markdown files with a structured question-and-answer format, making it easy to read and navigate without any server-side processing. The material distinguishes itself by pairing each question with a detailed explanation and often a code example, covering both conceptual knowledge and practical application. Topics ran

    Coding challenges and conceptual questions on Python data structures, libraries, and algorithmic problem solving for data science interviews.

    data-sciencedeep-learninginterview-questions
    在 GitHub 上查看↗5,497
  • junh0328/prepare_frontend_interviewjunh0328 的头像

    junh0328/prepare_frontend_interview

    1,725在 GitHub 上查看↗

    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

    Curates a comprehensive list of common engineering interview questions covering programming languages and software fundamentals.

    JavaScriptfrontendhandbook
    在 GitHub 上查看↗1,725
  • dashvlas/awesome-ios-interviewdashvlas 的头像

    dashvlas/awesome-ios-interview

    1,198在 GitHub 上查看↗

    This project is a curated study guide and knowledge base designed to assist software engineers in preparing for technical interviews within the iOS development ecosystem. It provides a structured collection of questions and answers focused on Swift and Objective-C, serving as a comprehensive reference for mastering the core concepts required for professional technical assessments. The repository distinguishes itself by bridging the gap between theoretical knowledge and practical application. It covers essential industry-standard practices, including architectural patterns, memory management s

    Provides a curated collection of technical questions and answers for software engineering interview preparation.

    awesome-iosawesome-listdeveloper-tools
    在 GitHub 上查看↗1,198
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探索子标签

  • Programming Paradigm AssessmentsCollections of interview questions and discussion topics focused on comparing object-oriented, functional, and procedural programming techniques. **Distinct from Programming Interview Questions:** Distinct from general programming interview questions: focuses specifically on evaluating paradigm-level understanding rather than language syntax or general algorithms.
  • Python Interview QuestionsCoding challenges and conceptual questions on Python data structures, libraries, and algorithmic problem solving for data science interviews. **Distinct from Programming Interview Questions:** Distinct from general Programming Interview Questions: focuses specifically on Python language features and data science use cases.