coding interview preparation resource
For a collection of company specific coding problems, the strongest matches are hxu296/leetcode-company-wise-problems-2022 (This repo aggregates LeetCode problems into company-specific collections Amazon), soapyigu/leetcode-swift (This repository is a Swift-based collection of LeetCode solutions) and blankj/awesome-java-leetcode (This repository is a curated collection of Java LeetCode). mgechev/google-interview-preparation-problems is also worth a look. Each is ranked by relevance to your query, popularity and recent activity.
We curate open-source GitHub repositories matching “leetcode company tagged solutions”. Results are ranked by relevance to your query — pick filters below to narrow, or refine with AI.
coding interview preparation resource
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- hxu296/leetcode-company-wise-problems-2022
hxu296/leetcode-company-wise-problems-2022
11,040View on GitHubThis repository is a structured database of coding interview problems designed to support software engineering career development. It functions as a centralized knowledge base that aggregates technical practice questions, mapping them to specific employer requirements and recurring computer science topics. The project distinguishes itself by clustering interview questions into company-specific collections and labeling them by technical domain. This organization allows users to identify recurring algorithmic patterns and analyze the unique testing styles associated with different organizations
This repo aggregates LeetCode problems into company-specific collections (Amazon, Google, Microsoft, etc.) and tags them by domain, directly supporting targeted interview preparation, though it may not include detailed solution explanations or complexity analysis for every problem.
Jupyter NotebookCompany-Specific Problem Mappings - soapyigu/leetcode-swift
soapyigu/LeetCode-Swift
4,958View on GitHubLeetCode-Swift is a collection of algorithm solutions written in Swift, designed for coding interview preparation. Each solution is implemented as a self-contained function with no external dependencies, making it easy to run and test. The repository organizes solutions by topic and company, and every file includes time and space complexity annotations, allowing quick evaluation of algorithmic efficiency. What sets this repository apart is its flat file structure and the way solutions are tagged with the companies that asked them in interviews, enabling targeted practice. All code resides in
This repository is a Swift-based collection of LeetCode solutions organized by company and annotated with time/space complexity, making it a direct fit for company-specific interview prep, though it supports only one language and lacks detailed explanations and problem links.
SwiftCompany-Specific Problem MappingsComplexity Annotations - blankj/awesome-java-leetcode
Blankj/awesome-java-leetcode
8,698View on GitHubThis project is a reference library of Java implementations for algorithmic coding challenges and data structure patterns. It serves as a study guide for technical interview preparation, providing a curated collection of LeetCode solutions organized by difficulty and algorithmic technique. The collection includes a mapping system that associates specific algorithm problems with the companies that frequently use them in technical interviews. The repository covers a wide range of capability areas, including tree algorithms for hierarchy construction and verification, string processing for sequ
This repository is a curated collection of Java LeetCode solutions with a built-in mapping system that associates problems with the companies that use them in interviews, directly matching the need for company-specific interview preparation; it is limited to one language and may not include explicit complexity analyses, but is clearly the right kind of tool.
JavaCompany-Specific Problem Mappings - mgechev/google-interview-preparation-problems
mgechev/google-interview-preparation-problems
3,163View on GitHubThis repository is a collection of solved coding challenges and technical problems designed to assist software engineers in preparing for technical job interviews. It serves as a structured archive of problem-solving patterns and solutions intended to help users master the technical assessments required by major technology companies. The project focuses on strengthening fundamental computer science knowledge by implementing and refining solutions to complex logic problems frequently encountered in professional engineering interviews. It provides a curated set of programming exercises that emp
This repository collects LeetCode problems solved specifically for Google interview preparation, meeting the company-specific focus, but it only includes JavaScript solutions and does not provide detailed explanations, complexity analysis, or links to the original problems, making it narrower in scope than a comprehensive solution set.
JavaScriptTechnical Interview PreparationAlgorithms and Data StructuresTechnical Interview Archives
