Python Contest Problem Solving: Algorithms and Applied AI

Solving competitive contest problems requires a strong grasp of computer science principles and applied data analysis. This reading-based course guides beginners through structured problem-solving strategies using Python. You will begin with essential terminology, basic computational thinking, and core algorithmic concepts before moving into practical code implementations. As you progress, you will study fundamental data structures, combinatorics, basic probability, and introductory machine learning and computer vision concepts. What you will learn: Understand fundamental algorithms, logic, and code efficiency in Python; Implement standard data structures such as lists, stacks, queues, and sets; Apply principles of combinatorics and probability to solve algorithmic challenges; Explore basic machine learning workflows for introductory data classification; Learn foundational computer vision techniques for image analysis; Practice writing clean, structured Python code with type hints. The content transitions smoothly from theoretical foundations to written code walkthroughs and practice problems. Designed for absolute beginners and aspiring contest participants, this course requires no prior advanced experience. Begin reading today to build your problem-solving skills in Python.