Search Results for "interview" - Page 4
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Showing 123 open source projects for "interview"
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Cheetah
AI macOS app for real-time coding interview coaching assistance
Cheetah is an AI-powered macOS application designed to assist users during software engineering interview practice through real-time coaching capabilities. It integrates audio transcription and AI-generated responses to help users navigate technical interview questions as they happen. Cheetah uses a local speech-to-text engine based on Whisper to capture and transcribe conversations in real time, enabling it to understand interviewer prompts. -
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Java Noodle Manual
The Java Face Sutra Manual consists of 5 chapters, 29 sections
Java Noodle Manual is a Java interview and core-technology study repository based on the Java Interview Manual. It uses interview questions as an entry point to explain deeper Java fundamentals instead of offering shallow memorization material. The content covers resume preparation, interview strategy, data structures, algorithms, concurrency, multithreading, JVM concepts, and source-code analysis. -
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The Art of Programming
A collection of practical tips can be found at the bottom of this page
The Art of Programming (Second Edition) is a curated collection of programming problems and solutions originally derived from the Microsoft 100 Interview Questions blog series, later refined into a long-running tutorial and ultimately a published book. Created by July, the series began in 2010 and has since evolved into an in-depth exploration of algorithmic thinking, data structures, and coding interview preparation. The repository brings together 42 classic programming problems from the original series, enhanced with detailed explanations, formula derivations, and optimized solutions. ... -
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Scalable-Software-Architecture
Collection of tech talks, papers and web links on Distributed Systems
...The aim is to help readers study how large systems operate: how to scale them, how to handle latency, failure, load, concurrency, and how to structure software for maintainability at scale. Because many interview and real-world engineering problems revolve around system design now, this collection serves as both prep material and a reference bank for engineers evolving beyond code to architecture. It promotes reading original source material (papers and talks) rather than merely summary blog posts, thereby helping practitioners deepen their mental models. ... -
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CSS Refresher Notes
Refresher of CSS concepts
CSS Refresher Notes is a comprehensive set of notes intended to help web developers revisit and solidify their understanding of core and advanced CSS concepts, organized as an approachable reference guide rather than a full textbook. The content spans foundational topics like positioning, display types, selectors, layout techniques, and box model intricacies, to more modern CSS capabilities such as media queries, responsive design principles, transitions, animations, and scalable vector... -
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Resources for Competitive Programming
Competitive Programming & System Design Resources
...It also lists books, roadmaps, blogs, and mock interview resources for deeper study. The project is useful for beginners who need direction and for experienced learners who want a consolidated reference list. -
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AlgoNotes
Summary of articles from the official account of Qianmeng Study Notes
AlgoNotes is a curated technical knowledge repository focused on recommendation systems, search, advertising, and machine learning. It collects articles, engineering practices, research summaries, and interview materials in one organized index. Major sections cover ranking and conversion prediction, recall and matching, user profiles, and feature engineering. It also includes recommendation and search topics, computational advertising, big data, and graph algorithms. Additional material covers NLP, computer vision, technical discussions, and job interviews. ... -
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System Design Notebook
Learn System Design step by step
System Design Notebook is a structured, personal knowledge base for learning and practicing system design, written in a way that mirrors real interview and on-the-job thinking. Instead of being a single long article, it’s split into topics like scalability, load balancing, data partitioning, caching, availability, consistency, and communication patterns, so you can study them in isolation. It emphasizes reasoning: why you pick a certain database, why you shard, why you put a queue, and what trade-offs come with each choice. ... -
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system-design
Selected System Design Interview Questions
System Design is a Chinese-language collection of detailed solutions to classic architecture interview problems. It teaches readers how to break broad product requirements into components, data flows, storage choices, scaling strategies, and operational tradeoffs. The examples cover URL shortening, news feeds, search engines, crawlers, key-value stores, distributed identifiers, task schedulers, file-system caches, and load balancers. -
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Tech Interview Handbook
Curated coding interview preparation materials
Tech Interview Handbook is a curated, mostly self-contained compilation of technical interview preparation resources—including algorithms, system design, resume tips, and behavioral questions—crafted for busy software engineers. The information in this repository is condensed. Ultimately, the key to succeeding in technical interviews is consistent practice and I don't want to bore you with too many words. -
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LeetCode
LeetCode Problems' Solutions
LeetCode is a long-running repository of solutions to LeetCode programming problems. It is organized as a study and reference collection for algorithm practice, technical interview preparation, and problem-solving review. The repository includes implementations for many classic coding challenge categories such as arrays, strings, linked lists, trees, graphs, dynamic programming, sorting, searching, and math. It is useful for comparing approaches, reviewing solution patterns, and studying how common interview problems can be implemented in code. ... -
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What happens when
What happens when you type google into your browser and press enter?
What happens when is a large collaborative documentation-style project that aims to answer in exhaustive detail the canonical interview/thought experiment question, “What happens when you type google into your browser and press Enter?” Rather than giving a high-level overview, the repository tries to break down every step in the process, from low-level events (keyboard press, OS events, keyboard interrupts), through OS-level handling (keyboard scan codes, key events), parsing, DNS lookup, networking (ARP, socket creation, TCP/TLS handshake), HTTP requests, browser behavior, HTML/CSS/JS parsing, rendering engine, GPU rendering, layout, to final drawing and user-visible output. ... -
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Advanced Java
Comprehensive guide to advanced Java topics and backend tech
advanced-java is a curated knowledge base for Java developers seeking to deepen their understanding of advanced topics, including JVM internals, multithreading, networking, databases, system design, and common backend technologies. Written in Chinese, it serves as both a study guide and reference for preparing for technical interviews or mastering large-scale system development with Java. -
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Machine Learning Cheat Sheet
Classical equations and diagrams in machine learning
...Each section is presented concisely, often with diagrams, formula snippets, and short explanatory notes to serve as quick reference for students, practitioners, or interview prep. The repository is ideal for those who want a compact, at-a-glance reminder of ML fundamentals without diving back into textbooks. Because the cheat sheet is meant to be portable and broadly useful, it is format-friendly (often in Markdown, PDF, or image formats) and easy to include in learning workflow or slides. -
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BitTiger
Lifelong Learning University from Silicon Valley
BitTiger is an extensive open educational repository that functions as a self-guided curriculum covering a wide range of topics in computer science, artificial intelligence, blockchain, system design, and technical interview preparation. Rather than being a traditional software application, it is structured as a knowledge base composed of curated learning materials, tutorials, and practical case studies designed to simulate real-world problem solving. The project reflects the philosophy of a “lifelong learning university,” aiming to help learners bridge the gap between academic knowledge and industry skills by exploring applied concepts across multiple domains. ... -
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CyC2018.github.io
Personal knowledge site built with GitHub Pages
This is a personal knowledge site built with GitHub Pages, organizing computer science notes and study materials in a browsable format. It aggregates content across algorithms, data structures, networking, operating systems, databases, and interview preparation into a coherent index. The presentation emphasizes succinct explanations paired with diagrams, tables, or code snippets to speed recall. Because the site is generated from a repository, it benefits from issue tracking, pull requests, and version history, making it easy to update and maintain. The structure encourages incremental learning: you can dip into a topic, follow internal links, and return later with a clear sense of progress. ... -
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Mega Project List
List of practical projects that anyone can solve in any prog language
...The concept is simple but powerful: instead of just memorizing algorithms, you pick a project (for example “Binary to Decimal and Back Converter”), implement it in your favorite language, and gradually build a portfolio of varied programming tasks. The repository has been widely referenced as a go-to for developers looking for ideas to practice, build side-projects, or create interview-prep exercises. Each entry is described in plain language, often with optional “added complexity” suggestions. The repo encourages contributions: you can add new projects, or strip duplicate items, and you can choose any language to implement. -
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algo
50 Code Implementations You Must Know About Data Structures
...Solutions are available across numerous languages, including C, C++, Java, Go, Python, JavaScript, Rust, Swift, Kotlin, and TypeScript. This multilingual layout helps learners compare syntax and implementation choices while studying the same concepts. The repository is well suited to interview preparation, classroom exercises, and deliberate coding practice. -
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Algorithmic Pseudocode
This repository contains the pseudocode(pdf) of various algorithms
This repository contains the pseudo-code of various algorithms and data structures necessary for Interview Preparation and Competitive Coding. The pseudocodes are written such that they can be easily adapted to any language. Let us remove the clutter of language and focus on the core concepts of the question. -
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interactive-coding-challenges
120+ interactive Python coding interview challenges
...The repository emphasizes a learn-by-doing approach: you read a prompt, attempt a solution, and verify behavior with tests, often within notebooks or scripts. Problems span arrays, strings, stacks, queues, linked lists, trees, graphs, dynamic programming, and more, mirroring common interview themes. Many challenges include hints and reference solutions so you can compare approaches and learn idiomatic patterns. The structure encourages incremental improvement—start with a brute-force idea, then refine to optimal time and space complexity. It serves both as a self-study path and as a warm-up bank for interview prep or coding katas. -
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frontend-interview
The strongest front-end interview guide in the universe
...I hope that this kind of graphic expression will make it easier for you to remember some abstract and incomprehensible concepts. "Graphic Front End" is my subtitle to it. Interviewing is a very subjective and difficult thing. Just because you don't pass the interview doesn't mean you're unqualified, just like passing the interview doesn't mean you're qualified. As a candidate, you are usually given 45 minutes to demonstrate your skills. -
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Deep Learning cheatsheets
VIP cheatsheets for Stanford's CS 230 Deep Learning
...It was created to help students and practitioners quickly review important formulas, workflows, and implementation concepts without navigating large textbooks or lecture archives. The repository combines concise theoretical explanations with practical training advice, making it valuable for both interview preparation and hands-on model development. Its materials are widely used within the machine learning community because of their accessibility, clarity, and high information density. -
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threadandjuc
High performance three-high-import import system
threadandjuc is a Java learning repository focused on multithreading, concurrency, and JUC concepts. It is designed to help developers understand how Java concurrent programming works through examples, explanations, and practical project-style demonstrations. The project covers topics such as threads, locks, synchronization, thread pools, concurrent collections, and high-performance data handling. It is especially useful for Java developers preparing for interviews or improving their... -
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fe-interview
Interview questions to drive learning, promoting daily learning
The front-end interview is 3+1 every day, using interview questions to drive learning, promoting daily learning and thinking, and making progress every day! Publish the interview questions by hand at 5:00 every morning (death to yourself, please everyone), 5000+ front-end interview questions are fully covered. This is a free and open-source public welfare project involving the largest number of front-end knowledge question banks (6000+), the most complete, and the largest number of participants! ... -
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ReadyForBAT
Chinese-language repository oriented to iOS interview preparation
ReadyForBAT is a Chinese-language repository oriented to iOS interview preparation: it collects a large number of interview topics in iOS development, UI views, language features (Objective-C), runtime mechanics, memory management, blocks, threads, run loops, network, design patterns, architecture, algorithms, third-party libraries and more, and presents them in mind-map or outline form with accompanying answers or explanations.
