Algorithms and Data Structures in Python for Interview Prep

Mastering algorithms and data structures is essential for writing efficient code and clearing technical software engineering interviews. This text-based course introduces core computer science concepts, helping you evaluate efficiency and write clean, structured solutions in Python or your programming language of choice. What you'll learn: • Understand Big O notation to analyze time and space complexity. • Implement foundational data structures like arrays, linked lists, stacks, queues, and hash maps. • Apply classic sorting, searching, and algorithmic techniques to practical problems. • Explore recursion, dynamic programming fundamentals, and basic graph traversal. • Practice structured problem-solving patterns required for technical coding challenges. • Leverage modern Python type hints to write clear, maintainable algorithmic code. The course begins with key terminology, memory principles, and complexity fundamentals before guiding you through essential data structures and algorithmic paradigms step by step. Designed for beginners, computer science students, and job candidates with basic programming knowledge looking to sharpen their problem-solving skills. Start reading today to build a strong algorithmic foundation and advance your technical career.