Search Results for "interview"
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Showing 132 open source projects for "interview"
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Reverse interview
Questions to ask the company during your interview
Reverse interview is a curated list of questions that tech job applicants can ask companies during interviews. It helps candidates evaluate whether a role, team, company, and work environment match their needs before accepting an offer. The repository covers practical areas such as the role, technical process, team structure, management style, company health, remote work, compensation, time off, social issues, and conflict handling. -
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Daily Interview
Datawhale members have compiled a book covering machine learning
daily-interview is an open-source educational repository designed to help software engineers prepare for technical interviews through daily practice questions and curated learning materials. The project collects a wide range of interview questions related to algorithms, data structures, system design, and core computer science topics commonly tested by technology companies. -
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huihut interview
A summary of C/C++ technical interview basics
interview is a curated repository of technical interview questions, solutions, and explanations covering a wide range of topics in computer science and software engineering. It aims to help developers prepare for job interviews by providing sample problems in algorithms, data structures, system design, databases, and programming language intricacies, often with code snippets and discussion. -
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JavaGuide-Interview
A study for technical interviews focused on Java
JavaGuide-Interview is a comprehensive study companion for technical interviews with a strong focus on the Java ecosystem. It organizes material across language fundamentals, collections, concurrency, JVM internals, and hot frameworks such as Spring and MyBatis. Beyond Java, it includes databases, computer networks, operating systems, distributed systems, and common algorithmic topics to mirror real interview scopes. -
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Coding Interview University
A complete computer science study plan to become a software engineer
Coding Interview University is a multi-month self-study plan that grew from a short personal to-do list into a comprehensive roadmap for preparing technical interviews at large software companies. The author used this plan to transition into a Software Development Engineer role at Amazon and emphasizes that most learners will not need to study as many hours to succeed. -
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iOS Interview Questions
iOS interview questions
This repository collects a broad, categorized list of interview questions (with expected answers) that are commonly asked in iOS or Swift engineering interviews. Topics range from language fundamentals (memory management, ARC, value vs. reference types), to UIKit/SwiftUI, concurrency, Grand Central Dispatch, background execution, networking, design patterns, system frameworks, and architecture decisions. -
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AIGC-Interview-Book
AIGC algorithm engineer interview secrets
...In addition to technical concepts, the repository also contains interview preparation materials such as practice questions, hiring insights, and career advice for AI engineers. The materials are organized so readers can study fundamental topics as well as advanced research areas that frequently appear in technical interviews. -
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ReactJS Interview Questions
List of top 500 ReactJS Interview Questions & Answers
...Future updates plan to add coding exercises, making the resource even more hands-on for learners. With contributions from the developer community, it serves as a practical guide for interview readiness and continuous skill-building. -
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System Design Interview
Notes of the book System Desgin Interview - An Insider's Guide
System Design Interview is a study repository based on the System Design Interview books, Volume 1 and Volume 2. It organizes notes on core system design concepts and common interview-style architecture problems. The material covers topics such as scaling from zero to millions of users, back-of-the-envelope estimation, rate limiters, consistent hashing, key-value stores, unique ID generators, URL shorteners, and web crawlers. -
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fe-advanced-interview
A Guide to Advanced Front-End Interviews
fe-advanced-interview is a comprehensive front-end engineering interview preparation repository focused on advanced web development concepts, system design, and real-world technical problem solving. The project compiles high-level interview questions and explanations covering JavaScript internals, browser rendering, networking, performance optimization, frameworks, architecture, and engineering best practices. -
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Android Interview Questions
Your Cheat Sheet For Android Interview
...The content favors concise, practical answers that interviewers expect, helping candidates rehearse concepts and trade-offs rather than memorize trivia. It’s equally useful for brushing up before an interview and for leveling up day-to-day Android engineering knowledge. -
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Python Interview Bible
Curated set of interview notes, Q&A, and code snippets
Python-Interview-Bible is a curated set of interview notes, Q&A, and code snippets aimed at helping candidates prepare efficiently for Python roles. It organizes content by topic—language essentials, data structures, algorithms, concurrency, networking, and databases—so you can target weak areas quickly. The repository emphasizes clear explanations and compact examples that demonstrate correct usage and common pitfalls. -
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llm_interview_note
Mainly record the knowledge and interview questions
llm_interview_note is an open-source knowledge repository designed to help engineers prepare for interviews and deepen their understanding of large language models (LLMs). The project compiles structured notes, conceptual explanations, and curated interview questions related to modern NLP and generative AI systems. It covers fundamental topics such as the historical evolution of language models, tokenization methods, word embeddings, and the architectural foundations of transformer-based models. The repository also explores practical engineering concerns including distributed training strategies, dataset construction, model parameters, and scaling techniques used in large-scale machine learning systems. ... -
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Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
Data-Science-Interview-Questions-Answers is a curated educational repository designed to help data science candidates prepare for technical interviews by organizing a large bank of questions and answers in one place. It began as a daily interview question initiative and was later consolidated into GitHub so learners could review the material more easily and revisit it over time. -
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cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio
Cracking the Data Science Interview is an open educational repository that collects study materials, resources, and reference links for preparing for data science interviews. The project organizes content across many fundamental areas of data science, including statistics, probability, SQL, machine learning, and deep learning. It includes cheat sheets that summarize important technical concepts commonly discussed during technical interviews. -
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LeetCode
Solutions to LeetCode by Go, 100% test coverage
Aimed towards programming enthusiasts who want to improve algorithm capabilities through LeetCode, containing many algorithm questions. Most of them are real interview questions of Google, Facebook, LinkedIn, Apple, etc. and it always help to sharp our algorithm Skills. Level up your coding skills and quickly land a job. This is the best place to expand your knowledge and get prepared for your next interview. This repo shows the solutions in Go with the code style strictly following the Google Golang Style Guide. ... -
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CS Fundamentals
Curated CS fundamentals for placement prep
CS-Fundamentals is a curated study repository for computer science placement and interview preparation. It gathers notes, PDFs, cheat sheets, question banks, and roadmaps across major CS subjects. The collection covers data structures and algorithms, computer networks, DBMS and SQL, object-oriented programming, operating systems, software engineering, and system design. It also includes general job-preparation material such as HR interview questions, LeetCode resources, cover letter material, off-campus hiring references, and AI prompts for interview practice. ... -
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Interviews
Comprehensive computer science and interview preparation guide
Interviews is an open source repository designed as a comprehensive guide to preparing for technical interviews, with a strong focus on computer science fundamentals and algorithmic problem solving. Created by Kevin Naughton Jr., the project compiles detailed notes, explanations, and code implementations that cover core areas tested in software engineering interviews. The repository emphasizes topics such as data structures, algorithms, system design, operating systems, databases, and... -
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AI Job Search
AI-powered job application framework built on Claude Code
...Extra commands support interview prep, outcome tracking, skill-gap analysis, profile expansion, and custom job-board skills. It is best suited for job seekers who want a repeatable AI-assisted application pipeline instead of writing every application from scratch. -
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Deep Learning Interviews book
Hundreds of fully solved job interview questions
...The repository organizes problems across topics such as neural networks, optimization, probabilistic models, and mathematical foundations of machine learning. Each question is accompanied by detailed solutions that explain the reasoning behind the answers and the theoretical concepts involved. In addition to interview preparation, the material also serves as a condensed overview of many core topics taught in graduate-level machine learning programs. -
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InterviewGuide
Repository that collects extensive computer science
...The repository contains curated algorithm and data structure explanations, collections of interview questions, high-frequency topics, and practical problem-solving guides to help users brush up on skills that are often tested in technical interviews. -
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The Data Engineering Handbook
Links to everything you'd ever want to learn about data engineering
...Rather than being a code project itself, it’s a learning handbook that links to books, articles, tutorials, community groups, boot camps, and real-world project examples that collectively form a roadmap to mastering data engineering skills. It includes beginner and intermediate boot camps, interview guides, data cleaning and transformation resources, and curated lists of newsletters and industry communities, making it useful both for self-study and technical interview preparation. The repository is actively maintained and widely starred, reflecting its role as a go-to reference for newcomers and experienced practitioners alike. -
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Data Science Interviews
Data science interview questions and answers
...Many of the questions cover fundamental machine learning topics such as linear models, decision trees, neural networks, and evaluation metrics. In addition to theoretical questions, the repository also includes practical interview topics related to coding challenges, SQL queries, and algorithmic thinking. -
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System Design Primer
Learn how to design large-scale systems
...It offers both theoretical foundations—such as scalability principles, the CAP theorem, and consistency models—and practical exercises, including real-world system design interview questions with sample solutions, diagrams, and code. The repository also contains study guides for short, medium, and long interview timelines, allowing learners to focus on both breadth and depth depending on their preparation needs. In addition, it includes flashcard decks designed to reinforce learning through spaced repetition, making it easier to retain key system design knowledge. -
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JavaFamily
Java Interview + Java Study Guide
...It includes explanations, code samples, and curated resources that guide learners through different aspects of the Java ecosystem. The repository also emphasizes interview preparation, making it useful for developers seeking to improve their job prospects. It reflects real-world practices and industry standards, helping users bridge the gap between theory and application.
