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yuanguangxin avatar

yuanguangxin/LeetCode

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LeetCode

This project is a LeetCode solution repository and algorithm implementation library. It serves as a technical interview study guide, providing a collection of solved programming problems and algorithmic implementations.

The repository focuses on coding practice management and algorithm study workflows. It organizes curated coding questions and answers to assist in preparing for technical job evaluations and software engineering assessments.

The content is managed through a git-based system using markdown documentation and a category-based directory structure. This allows for the organization of source files by algorithmic topic or problem difficulty.

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Features

  • Technical Interview Preparation - Curates coding questions and answers to help developers prepare for technical evaluations.
  • Algorithm Study Collections - Offers categorized code implementations for common programming problems and data structures.
  • LeetCode Solution References - Provides a curated collection of solved LeetCode problems for study and reference.
  • Technical Interview Preparation - Provides curated questions and answers specifically for preparing for technical job assessments.
  • Technical Interview Guides - Organizes practice problems and patterns into a guide for mastering technical interviews.
  • Algorithm Implementations - Acts as a reference library of data structures and algorithmic techniques applied to coding challenges.
  • Git-Based Content Management Systems - Uses Git as the primary system for tracking changes and managing the problem set.
  • Markdown Documentation - Employs markdown files to store problems and solutions for clear rendering and version control.
  • Coding Challenge Solutions - Documents and implements solutions to a wide array of competitive programming challenges.
  • Topic-Based Resource Organization - Organizes study materials into folders based on algorithmic topics and problem difficulty.
7,480 stars·1,860 forks·Java·24 views

Star history

Star history chart for yuanguangxin/leetcodeStar history chart for yuanguangxin/leetcode

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

Frequently asked questions

What does yuanguangxin/leetcode do?

This project is a LeetCode solution repository and algorithm implementation library. It serves as a technical interview study guide, providing a collection of solved programming problems and algorithmic implementations.

What are the main features of yuanguangxin/leetcode?

The main features of yuanguangxin/leetcode are: Technical Interview Preparation, Algorithm Study Collections, LeetCode Solution References, Technical Interview Guides, Algorithm Implementations, Git-Based Content Management Systems, Markdown Documentation, Coding Challenge Solutions.

Which projects share features with yuanguangxin/leetcode?

Projects with overlapping indexed features include: blankj/awesome-java-leetcode — This project is a reference library of Java implementations for algorithmic coding challenges and data structure… itcharge/algonote — AlgoNote is an algorithm and data structure tutorial and computer science study manual. It serves as a technical… datawhalechina/daily-interview — This project is a technical interview study guide and knowledge base designed for software engineering and AI roles.… grandyang/leetcode — This project is a curated repository of solved LeetCode programming challenges and technical interview explanations.… junh0328/prepare_frontend_interview — This project is a comprehensive technical interview study resource designed to help developers prepare for engineering… forthespada/interviewguide — InterviewGuide is a comprehensive technical interview preparation platform that covers the full spectrum of software…

Projects sharing features with LeetCode

These projects share indexed features with LeetCode. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • blankj/awesome-java-leetcodeBlankj avatar

    Blankj/awesome-java-leetcode

    8,698View on GitHub↗

    This 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

    Javaalgorithmalgorithmsdatastructure
    View on GitHub↗8,698
  • itcharge/algonoteI

    itcharge/AlgoNote

    7,729View on GitHub↗

    AlgoNote is an algorithm and data structure tutorial and computer science study manual. It serves as a technical library of algorithm implementations and data structure patterns, providing a comprehensive learning guide focused on technical interview preparation. The project functions as a LeetCode solution guide, containing analyzed and implemented solutions for over one thousand coding challenges. All implementations are written in Python to provide a consistent coding reference. The resource covers the study of algorithm fundamentals, the resolution of diverse coding challenges, and prepa

    Python
    View on GitHub↗7,729
  • datawhalechina/daily-interviewdatawhalechina avatar

    datawhalechina/daily-interview

    3,719View on GitHub↗

    This project is a technical interview study guide and knowledge base designed for software engineering and AI roles. It provides curated learning paths and a collection of high-frequency questions to help candidates prepare for technical assessments. The resource includes specialized study guides for machine learning, covering supervised and unsupervised learning, computer vision, and natural language processing. It also serves as a system design reference, analyzing architectural patterns, scalability trade-offs, and distributed infrastructure components. Beyond technical theory, the projec

    cvinterview-questionsllm
    View on GitHub↗3,719
  • grandyang/leetcodegrandyang avatar

    grandyang/leetcode

    6,195View on GitHub↗

    This project is a curated repository of solved LeetCode programming challenges and technical interview explanations. It serves as an algorithm study guide and competitive programming resource, providing practical code implementations and step-by-step logic for solving standard computer science problems. The collection features bilingual solution studies with detailed technical explanations written in both English and Chinese. These curated coding solutions are organized by difficulty and technical domain, making them available through both a web browser and a mobile application interface. Th

    alogrithmsarraycoding-practices
    View on GitHub↗6,195
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