Code Similarity Algorithms for Technical Interviews

Understanding how software systems compare code for similarity or duplication is key to mastering advanced algorithmic problem-solving. This course teaches you the underlying data structures and algorithms essential for detecting code plagiarism and similarity. By mastering techniques like rolling hashes and sequence alignment, you will significantly improve your efficiency and problem-solving skills necessary for competitive technical interviews. What you'll learn: * Understand the principles of string matching and pattern detection algorithms. * Master rolling hash functions (like Rabin-Karp) for efficient substring and text comparison. * Apply dynamic programming techniques to solve sequence alignment problems, such as calculating edit distance. * Analyze methods for comparing code structure using tokenization and Abstract Syntax Trees (ASTs). * Practice optimizing comparison algorithms for improved speed and memory efficiency. We start with foundational concepts of hashing and string manipulation before progressing to complex algorithms used for large-scale document and code comparison. The material includes practical examples designed to solidify your understanding of these critical techniques. This course is designed for beginner and intermediate programmers preparing for technical interviews or those interested in the algorithmic foundations of code analysis tools. No prior knowledge of plagiarism detection systems is required. Start reading today and sharpen your algorithmic toolkit.