Search Results for "interview" - Page 3
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Showing 123 open source projects for "interview"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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DB-TUTORIAL
Mainstream database knowledge that backend programmers should master
...Additional chapters examine MongoDB, Redis, HBase, Elasticsearch, and the wider Elastic stack. The repository also discusses middleware such as ShardingSphere and Flyway. Detailed indexes, operational guides, interview reviews, recommended books, papers, courses, and online ebook pages make it useful for both structured study and reference. -
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JavaScript Algo and Data Structures
Algorithms and data structures implemented in JavaScript
javascript-algorithms is an open source repository by Oleksii Trekhleb that provides implementations of algorithms and data structures in JavaScript. Each algorithm includes explanations, complexity analysis, and references for further reading, making it both a coding resource and a study guide. The repository covers topics such as sorting, searching, graph algorithms, cryptography, and data structures like linked lists, stacks, and queues. It is designed to help developers understand... -
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AI Copywriter
An AI copywriter that uses real copywriting skills + real marketing
AI Copywriter is a portable Markdown-based agent skill for producing persuasive marketing copy that still sounds human. It combines conversion-focused writing with a humanization process based on 33 recognizable patterns of machine-generated prose. Before drafting, the skill asks about the ideal customer, product category, and real story behind the message. It evaluates audience emotion, simplifies the explanation, and challenges vague inputs instead of hiding them behind generic language.... -
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ML-NLP
This project is a common knowledge point and code implementation
ML-NLP is a large open-source repository that collects theoretical knowledge, practical explanations, and code examples related to machine learning, deep learning, and natural language processing. The project is designed primarily as a learning resource for algorithm engineers and students preparing for technical interviews in machine learning or NLP roles. It compiles important concepts that frequently appear in machine learning discussions, including neural network architectures, training... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Anthropic's Original Performance
Anthropic's original performance take-home, now open for you to try
Anthropic's Original Performance repository contains the publicly released version of a performance challenge originally used by Anthropic as part of their technical interview process, offering developers the opportunity to optimize and benchmark low-level code against simulated models. The project sets up a baseline performance problem where participants work to reduce simulated “clock cycles” required to run a given workload, effectively challenging them to engineer faster code under constraints. This take-home includes starter code, tests, and tools to debug performance, aiming to measure how effectively one can apply algorithmic improvements and optimizations. ... -
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DevOps Exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git
DevOps Exercises is a massive, community-maintained collection of questions, tasks, and mini-challenges that cover the breadth of modern DevOps and platform engineering. It spans Linux, networking, Docker, Kubernetes, CI/CD, monitoring, cloud providers, security, and even soft skills and troubleshooting. The idea is to give candidates and teams a realistic practice ground for interviews, certifications, and day-to-day operational work. Because it’s structured as Q&A and exercises, you can go... -
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AI Engineer Headquarters
A collection of scientific methods, processes, algorithms
AI-Engineer-Headquarters is a comprehensive educational repository designed to help developers become advanced AI engineers through a structured learning path and practical system-building exercises. The project serves as a curated collection of resources, methodologies, and tools covering topics across the entire artificial intelligence development lifecycle. Rather than focusing only on theoretical knowledge, the repository emphasizes applied learning and encourages engineers to build real... -
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Best-websites-a-programmer-should-visit
Some useful websites for programmers
...Rather than being a random bookmark dump, it organizes resources into practical categories such as algorithms, competitive programming, reading materials, podcasts, newsletters, interview prep, design, security, performance, and more. The list aims to reduce the “what should I learn next?” friction by pointing you to high-signal, time-tested tutorials, references, and tools. Because it spans beginner to advanced topics, you can use it as an on-ramp when starting out and as a roadmap for deeper specialization later. ... -
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Jenkins-Zero-To-Hero
Install Jenkins and configure Docker
Jenkins-Zero-To-Hero is a hands-on learning repository that teaches Jenkins from scratch, starting with installation and moving all the way to building end-to-end CI/CD pipelines. The course is designed around running Jenkins on an AWS EC2 instance, guiding you through installing Java, configuring Jenkins, and exposing it safely via security group rules. From there, it covers installing plugins like Docker Pipeline, configuring Docker as an agent, and wiring up multi-stage and multi-agent... -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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Homemade Machine Learning
Python examples of popular machine learning algorithms
homemade-machine-learning is a repository by Oleksii Trekhleb containing Python implementations of classic machine-learning algorithms done “from scratch”, meaning you don’t rely heavily on high-level libraries but instead write the logic yourself to deepen understanding. Each algorithm is accompanied by mathematical explanations, visualizations (often via Jupyter notebooks), and interactive demos so you can tweak parameters, data, and observe outcomes in real time. The purpose is... -
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DSA Bootcamp Java
This repository consists of the code samples, assignments, and notes
DSA Bootcamp Java is an open source educational repository created by Kunal Kushwaha to teach Data Structures and Algorithms (DSA) using Java. It is designed as a structured bootcamp, covering fundamental concepts to advanced problem-solving techniques. The project provides explanations, exercises, assignments, and practice problems, making it useful for both beginners and intermediate learners who want to strengthen their Java and algorithmic skills. The repository is organized into... -
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naval-qda
Local-first desktop app for qualitative data analysis (QDA)
NAVAL-QDA is a desktop application for qualitative data analysis (QDA). Import interview transcripts, documents, and media; code them against a hierarchical node tree; classify sources by case and attribute; write analytic memos; run text and coding queries; visualize patterns; and generate reports — all from a local Electron + React app. Key features: import .txt/.docx/.pdf plus audio/video for transcription; hierarchical coding with merge/move and percent-coded tracking; cases, attributes, and a classification sheet; memos linked to sources, cases, or nodes; text search, word frequency, coding, matrix coding, and coding-comparison queries; word cloud, hierarchy treemap, and similarity-cluster visualizations; coding reports and project summaries; and optional, opt-in AI-assisted summaries/code suggestions. ... -
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Athena Java
Java Backend Knowledge Graph
...Several sections frame concepts as interview conversations and include resume and job-preparation guidance. Project examples cover common web systems, permissions, shopping carts, file handling, and messaging platforms. The repository functions as a structured study index for students preparing for Java backend work and technical interviews. -
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LeetCode Problem Solving
Complete Collection of 151 Problems
...A configured Visual Studio Code development container includes the TeX environment and fonts required for reproducible builds across major operating systems. The repository is useful for interview preparation, algorithm review, and systematic practice with common programming problems. -
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Deep-Learning-Interview-Book
Interview guide for machine learning, mathematics, and deep learning
Deep-Learning-Interview-Book collects structured notes, Q&A, and concept summaries tailored to deep-learning interviews, turning scattered study into a coherent playbook. It spans the core math (linear algebra, probability, optimization) and the practitioner topics candidates actually face, like CNNs, RNNs/Transformers, attention, regularization, and training tricks. -
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Reqcore
Open Source Applicant Tracking System (ATS)
Reqcore is an Applicant Tracking System built for companies receiving more applicants than they can effectively review. Instead of forcing recruiters to manually screen hundreds of résumés, Reqcore evaluates every applicant against role-specific hiring criteria and turns large applicant pools into a clear, prioritized shortlist. Each evaluation includes an explanation of why the candidate matches, helping hiring teams identify strong applicants without losing them in the noise. Reqcore... -
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ffmpeg_develop_doc
2023, the latest audio and video learning materials, projects
...It includes command references, technical articles, academic papers, tutorials, and example projects covering audio and video processing concepts. The repository is structured as a knowledge base, offering materials on encoding, decoding, streaming protocols, and real-time media systems. It also contains interview preparation resources and practical case studies, making it useful for both learning and professional development. In addition to documentation, it links to open-source projects and implementation examples that demonstrate real-world usage of FFmpeg. The collection is continuously updated and aims to centralize scattered information into a single accessible resource. ... -
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Reverse interview Chinese
The final rhetorical question of the technical interview
Reverse Interview ZH is a Chinese-language collection of questions that technical job candidates can ask interviewers when evaluating an employer. Much of the material is translated from the original Reverse Interview project, with additional questions contributed for Chinese-speaking candidates. It encourages applicants to select relevant questions rather than mechanically asking everything in the collection. -
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Yangshun Lago
Data Structures and Algorithms library in TypeScript and JavaScript
...Because the code is idiomatic JavaScript, it also helps front-end engineers strengthen fundamentals without switching languages. The repository’s structure lets you browse topic by topic and compare trade-offs such as time versus space complexity. It’s a handy companion to interview prep lists: after reading a concept, you can open the matching Lago implementation and trace it line by line. -
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Azure Zero to Hero Course
Repository to learn Azure from Zero
...Later sections cover serverless Azure Functions in an event-driven pattern, using Terraform to manage Azure resources, and wrapping up with resume preparation and interview questions. -
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JavaScript Questions
A long list of (advanced) JavaScript questions, and their explanations
This repo is a popular collection of JavaScript questions with detailed, approachable explanations that help you understand why the language behaves the way it does. It covers tricky corners—hoisting, closures, coercion, event loop, prototypes, this binding, async/await, and more—through short prompts followed by illuminating answers. Explanations often include runnable snippets and step-through reasoning so you can replicate results locally. The content is curated to sharpen mental models... -
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To Be Top Javaer
To Be Top Javaer - The Path to Becoming a Java Engineer
...Created and maintained by Hollis, the project compiles a wide range of Java fundamentals, advanced features, and ecosystem knowledge into one structured guide. It covers core Java concepts, JVM internals, multithreading, frameworks, databases, system design, and interview preparation. The repository is presented in a structured, progressive format so learners can follow along step by step while also diving into specific areas of interest. Its goal is to help developers not only strengthen their Java skills but also broaden their understanding of software engineering practices, distributed systems, and career development. ... -
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Codefather
A programmer's guide to programming
...It’s designed to serve as a one-stop programming encyclopedia that covers foundational learning routes for Java, front-end, Python, C++, algorithms, and core computer science topics, making it useful for beginners, career-changers, and students. In addition to structured learning paths, the repository includes curated educational content such as coding exercises, interview questions, study guides, and real-world project tutorials to help learners build skills systematically. The project combines technical explanations, resource links, community recommendations, and experience-based advice to guide learners through the complexities of software development and job preparation. -
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javascript-algorithms
JavaScript implementations of computer science algorithms
...It serves as a learning and reference resource for developers wanting to understand how standard algorithms can be expressed in JavaScript, bridging the gap between theoretical algorithm knowledge and practical implementation usable in web or Node.js contexts. Because algorithms are implemented in a language (JavaScript) many developers use daily, the repo becomes especially useful for students, interview-preparation candidates, or anyone wanting to learn algorithmic thinking without switching languages. The code tends to be readable, structured, and adapted to JavaScript idioms, making it easier to follow for JS developers. -
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CS Notes
Essential knowledge for technical interviews, Leetcode, and OS
CS-Notes is a comprehensive, community-driven collection of study materials and technical notes for computer science students and professionals. Created by CyC2018, the repository consolidates essential computer science topics, algorithm solutions, and interview preparation materials in one well-organized resource. It covers a broad range of subjects, including data structures, algorithms, operating systems, networks, databases, and Java development. The repository also includes sections on system design, distributed systems, caching, and message queues, providing practical knowledge relevant to software engineering interviews and real-world applications. ...
