# hxu296/leetcode-company-wise-problems-2022

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/hxu296-leetcode-company-wise-problems-2022).**

11,040 stars · 2,318 forks · Jupyter Notebook · mit

## Links

- GitHub: https://github.com/hxu296/leetcode-company-wise-problems-2022
- awesome-repositories: https://awesome-repositories.com/repository/hxu296-leetcode-company-wise-problems-2022.md

## Topics

`amazon-interview` `facebook-interview` `google-interview` `interview` `leetcode` `leetcode-company-questions` `microsoft-interview`

## Description

This 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, facilitating more targeted and efficient study sessions.

The content is maintained as a version-controlled repository using a hierarchical directory structure. All technical documentation and problem sets are stored in lightweight text files to ensure portability and ease of navigation for contributors and users.

## Tags

### Education & Learning Resources

- [Technical Interview Preparation](https://awesome-repositories.com/f/education-learning-resources/technical-interview-preparation.md) — Provides curated coding problems matched to the assessment styles and patterns of target employers.
- [Technical Interview Questions](https://awesome-repositories.com/f/education-learning-resources/interview-preparation-guides/technical-interview-questions.md) — Indexes technical practice questions categorized by employer requirements and computer science topics. ([source](https://github.com/hxu296/leetcode-company-wise-problems-2022#readme))
- [Technical Interview Preparation](https://awesome-repositories.com/f/education-learning-resources/professional-development-career/career-development/career-advancement-resources/technical-interview-preparation.md) — Streamlines coding interview preparation by organizing study materials by company and technical domain.
- [Coding Interview Preparation](https://awesome-repositories.com/f/education-learning-resources/coding-interview-preparation.md) — Examines interview question datasets to reveal company testing styles and guide preparation. ([source](https://github.com/hxu296/leetcode-company-wise-problems-2022/blob/main/todo.md))

### Software Engineering & Architecture

- [Company-Specific Problem Mappings](https://awesome-repositories.com/f/software-engineering-architecture/problem-pattern-mappings/company-specific-problem-mappings.md) — Functions as a structured database of algorithmic challenges mapped to specific company interview patterns. ([source](https://github.com/hxu296/leetcode-company-wise-problems-2022/search))
- [Algorithmic Problem Solving](https://awesome-repositories.com/f/software-engineering-architecture/algorithmic-problem-solving.md) — Identifies recurring algorithmic themes across company interview sets to improve problem-solving speed.
- [Problem Pattern Mappings](https://awesome-repositories.com/f/software-engineering-architecture/problem-pattern-mappings.md) — Labels interview questions by technical domain to help users identify recurring patterns. ([source](https://github.com/hxu296/leetcode-company-wise-problems-2022/blob/main/todo.md))

### Content Management & Publishing

- [Markdown-Based Knowledge Bases](https://awesome-repositories.com/f/content-management-publishing/content-management-systems/content-architecture-modeling/markdown-ecosystem-tools/markdown-based-knowledge-bases.md) — Maintains a portable knowledge base of technical documentation using version-controlled markdown files.