Ressources de préparation aux entretiens techniques
For plateforme pour s'entraîner aux entretiens techniques de code, the strongest matches are perixtar/2025-tech-oa-by-fastprep (This repository is a markdown-based technical interview question bank), khan4019/front-end-interview-questions (This repository provides a curated collection of study guides) and donnemartin/interactive-coding-challenges (This repo is a structured curriculum of interactive Python). doocs/leetcode and youngyangyang04/leetcode-master round out the shortlist. Each is ranked by relevance to your query, popularity and recent activity.
Explorez des collections complètes de défis de code, d'exercices algorithmiques et de guides de préparation aux entretiens techniques.
Ressources de préparation aux entretiens techniques
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- perixtar/2025-tech-oa-by-fastprep
perixtar/2025-Tech-OA-by-FastPrep
2,935Voir sur GitHubThis project is a technical interview question bank and coding interview study guide. It serves as a company-specific assessment aggregator that organizes curated collections of algorithmic problems and solutions by company and role. The study guide is built as a static site that pre-renders markdown data files into HTML pages. It features a client-side search engine that enables instant filtering of interview questions directly in the browser without server requests. The system manages a broad set of capabilities for technical interview preparation, including the aggregation of company asse
This repository is a markdown-based technical interview question bank and study guide with company-specific problems and solutions, fitting the core intent of a learning and practice resource, though it lacks interactive features like an online code editor or mock interview mode.
Interview Question Banks - khan4019/front-end-interview-questions
khan4019/front-end-Interview-Questions
3,072Voir sur GitHubThis project is a curated educational resource and technical interview preparation kit. It provides a comprehensive collection of study guides and question banks focused on front-end web development, JavaScript algorithms, and professional coding assessments. The repository includes a technical interview question bank and specialized study sets for JavaScript algorithms. These resources cover conceptual explanations and programming challenges designed to help developers master common coding patterns and theoretical questions. The content covers core web development fundamentals, including HT
This repository provides a curated collection of study guides and a bank of practice problems focused on front-end and JavaScript coding interviews, making it a direct resource for interview preparation, though it lacks interactive features like an online code editor or mock interview mode.
HTMLInterview Question Banks - donnemartin/interactive-coding-challenges
donnemartin/interactive-coding-challenges
31,529Voir sur GitHubThis project is a comprehensive curriculum for mastering computer science fundamentals and preparing for technical interviews. It provides over 120 interactive Python coding challenges that focus on algorithmic skill development, data structure implementation, and logical problem solving. The learning experience is delivered through a series of executable notebooks that combine instructional content with hands-on coding exercises. Each challenge is self-contained and relies on automated unit tests to verify the correctness of user-implemented solutions against predefined constraints and edge
This repo is a structured curriculum of interactive Python coding challenges with instructional notebooks and automated unit tests, offering both learning content and hands-on practice for interview preparation.
PythonInteractive Coding Environments - doocs/leetcode
doocs/leetcode
36,161Voir sur GitHubThis project is a comprehensive algorithmic learning repository and competitive programming archive designed to support technical interview preparation and software engineering skill development. It provides a structured collection of verified solutions and implementation patterns, enabling developers to master fundamental computer science concepts through systematic practice and study. The repository distinguishes itself through a solution-centric structure that organizes source code by problem category, algorithm type, and data structure. By mapping specific coding challenges to recurring a
doocs/leetcode is a structured repository of LeetCode solutions with explanations across multiple languages, directly serving as a learning and practice resource for coding interviews; while it lacks interactive features like an online code editor or mock interviews, it provides the core curated question bank and solution explanations you need.
JavaInterview Preparation ResourcesCompetitive Programming RepositoriesCompetitive Programming Resources - youngyangyang04/leetcode-master
youngyangyang04/leetcode-master
61,690Voir sur GitHubThis project is a comprehensive algorithmic interview resource and coding practice repository. It provides a structured curriculum of programming challenges and source code implementations designed to help software engineers master efficient problem-solving techniques and prepare for technical assessments. The repository functions as a curated roadmap, organizing computer science fundamentals by data structure and algorithm topic to facilitate systematic skill development. By moving away from random practice, it supports career advancement training for those seeking to improve their professio
youngyangyang04/leetcode-master is a curated repository of algorithmic problems and solution implementations across many languages with structured learning guides, making it a solid fit for practicing coding interview questions and studying concepts, though it lacks the interactive online editor, progress tracking, and mock interview mode of a full-fledged platform.
ShellAlgorithm and Data Structure GuidesAlgorithmic Interview ResourcesAlgorithmic Problem Solving
