3 repositorios
Study of pattern matching algorithms like KMP and Rabin-Karp for technical interviews.
Distinct from Lexicographical Substring Searches: Candidates focus on professional software implementations or specific ranks/counts, whereas this is a general algorithmic study guide.
Explore 3 awesome GitHub repositories matching education & learning resources · String Search Algorithm Study. Refine with filters or upvote what's useful.
algorithm-base is an educational library and study guide designed for simulating algorithms and studying data structures. It functions as an execution visualizer that renders step-by-step state changes and pointer updates through animated simulations to illustrate how data movement works. The project distinguishes itself by mapping conceptual logic directly to multi-language source code implementations. It utilizes a comparative analysis framework to evaluate different algorithmic strategies based on stability, time complexity, and space complexity, while organizing problems by underlying mec
Provides a study guide on basic sequential substring search techniques for technical interviews.
This project is a comprehensive knowledge base and study resource designed for mastering technical interviews. It provides structured guides, roadmaps, and curricula focused on data structures, algorithms, system design, and frontend engineering to help candidates prepare for software engineering screenings. The repository distinguishes itself by offering a holistic approach to professional advancement. Beyond technical drills, it includes a career development handbook covering resume optimization, salary benchmarking, and strategic negotiation coaching. It also provides detailed methodologie
Guides the implementation of substring search patterns using KMP and Rabin-Karp algorithms.
CppGuide is a curated collection of educational resources and practical guides focused on C++ server development, Linux kernel internals, concurrent programming, network protocols, and security exploitation. It provides structured learning paths for backend developers, covering everything from interview preparation to building high-performance network servers and understanding operating system fundamentals. The guide distinguishes itself by offering in-depth, hands-on tutorials that walk through real-world implementations, including building a Redis-like server from scratch, designing custom
Applies Boyer-Moore and other search algorithms for efficient substring matching using std::search.