LeetCodeAnimation is a documentation and indexing repository that catalogs 256 LeetCode algorithm problems with animated explanations, multi-language reference solutions (Java, C++, Python), and structured metadata. The actual content lives on the companion site algomooc.com; this GitHub repo serves as a versioned public index, historical asset archive, and synchronization layer. The architecture is a static site generator pipeline: a Node.js sync script (tools/scripts/sync-algomooc-index.js) reads the website's study_index.js, compares it against docs/data/manifest.json, and regenerates manifest.json, leetcode-animation-index.md, index-by-topic.md, and sync-log.md. A separate build-readme.js injects problem counts into the README and produces stats.json for dynamic badges. The Python anima CLI (tools/anima.py) scaffolds new problem directories with template Markdown. GitHub Actions CI validates manifest integrity and checks staleness of generated files on every push/PR. The codebase is well-structured with clear separation between generated artifacts and hand-maintained content, enforced through LCA-AUTOGEN markers in the README. The 256 problems span arrays, linked lists, trees, DP, graphs, and more, each with articles, animations (GIF/MP4), and reference code.
This repository is a collection of competitive programming solutions and learning resources accumulated during interview preparation for a Microsoft SWE role. It contains implementations of algorithms and data structures from platforms like LeetCode, HackerRank, CodeChef, and others, organized by problem source and topic. The repository serves as both a personal record of solved problems and a reference for common coding interview patterns. The codebase consists of standalone solution files that implement specific algorithms to solve well-defined problems. Rather than a unified application, it's an educational repository where each file represents a self-contained solution to a particular coding challenge. The solutions demonstrate various techniques including two-pointer approaches, stack-based algorithms, in-place array modifications, and thread synchronization patterns. While the repository doesn't contain a single cohesive software system, it does include several reusable algorithmic patterns that could be extracted for use in other projects. Notable examples include the stack-based parentheses validation, two-pointer technique for sorted arrays, in-place array modification algorithms, and thread coordination mechanisms using Events and Semaphores. These components represent fundamental computer science concepts implemented with attention to correctness and efficiency.
This repository is a comprehensive educational collection of algorithm problem solutions for LeetCode and Kamacoder (ACM mode), organized as a structured learning path for interview preparation. It contains over 350 Markdown files, each providing a detailed explanation, multiple solution approaches, and code in C++, Java, Python, Go, JavaScript, and many other languages. The content is purely pedagogical and staticβnot a runnable application or a data pipeline. It serves as the online companion to the '代η ιζ³ε½' (programmercarl.com) book and video series. The repository demonstrates high consistency in formatting and pedagogical templates, but it is not software engineering; the 'craftsmanship' lies in the educational structure rather than in software architecture. It is hybrid in the sense that some files include empirical complexity analysis, but the dominant character is an educational resource.
This repository is a massive, multi-language collection of algorithmic problem solutions primarily from LeetCode, εζOffer (Sword to Offer), and Cracking the Coding Interview. It serves as a reference and study resource for coding interview preparation. The core content is organized by problem number and includes solutions in over 10 languages (Python, Java, C++, Go, TypeScript, Rust, etc.). A secondary component is a web application (Dockerfile, package.json) that likely powers the site at leetcode.doocs.org, providing a browsable interface for the solutions. The repository is actively maintained with frequent commits and a large contributor base, but the codebase is dominated by boilerplate solution files with high duplication and no automated testing. The architecture is a flat collection of independent solution files rather than a cohesive software application.
This repository is a large, personal competitive programming solution archive spanning multiple platforms (LeetCode, Codeforces, CSES, AtCoder, etc.) with a companion Next.js web application (LeetGoat) for managing and browsing problems. The codebase contains over 3,900 files, predominantly short algorithmic solution scripts in Python, C++, and JavaScript, accompanied by reusable algorithm templates and a structured problem metadata system using Prisma and Supabase. While the primary content is the solution library, the integrated web application provides authentication, admin CRUD for problems and tags, drill grouping, and practice pages. The app uses tRPC for type-safe APIs, Supabase for auth, and Prisma for database access. However, many site pages are placeholders ("Coming Soon"), indicating an early-stage product. Code quality varies widely: many solutions are well-commented and demonstrate strong algorithmic thinking (DP, segment trees, graph algorithms), while others are incomplete, contain known bugs, or carry disclaimers like "BAD SOLUTION". The templates directory contains genuinely reusable components (sparse tables, DSU, segment trees, centroid decomposition) that could be extracted for other projects. Maintenance is ongoing with frequent commit activity, but the sheer volume and mixed concerns (solutions + web app) introduce technical drift. No testing suite or CI is evident, and some solutions depend on external libraries (sortedcontainers) not always available in competitive programming environments.
This repository consists solely of a README.md file containing 100 Golang interview questions and answers for 2026. It serves as an educational resource covering Go language fundamentals like workspace architecture, GOPATH, slices, goroutines, channels, error handling, and data types. The content explains concepts with code snippets but does not include any executable source files, project structure, or buildable components. Despite the recent commit activity indicating maintenance, the absence of actual code means the repository functions only as static documentation rather than a runnable application or reusable library.
This repository contains a single README.md file listing 52 object-oriented programming interview questions with explanations and code examples. It is a static educational resource hosted on Devinterview.io, not a software application or data pipeline. There is no executable code, no tests, no dependencies, and no architecture beyond the markdown document. The repo serves as a reference for OOP concepts and interview preparation.