Python Algorithms and Data Structures for Practical Problem Solving

Writing code that works is only the first step; writing code that runs efficiently at scale is what defines a skilled developer. This text-based course bridges the gap between basic syntax and computer science fundamentals, helping you think systematically about problem-solving. You will transition from writing simple scripts to designing optimized, elegant algorithms. In this course, you will: Learn foundational computer science terminology and basic complexity theory; Understand core data structures including lists, stacks, queues, hash tables, and trees; Implement classic searching and sorting algorithms from scratch using modern Python type hints; Analyze code performance and resource consumption using Big O notation; Practice solving complex algorithmic problems through structured, written exercises; Apply pytest to write simple tests that verify the correctness of your algorithms. The course begins with essential theoretical concepts and definitions before guiding you through step-by-step written explanations of implementations, analysis, and optimization techniques. It is designed for self-paced learners with a basic grasp of Python syntax who want to build a rigorous technical foundation without any prior computer science degree. Start reading today to elevate your programming logic and solve complex challenges with confidence.