Foundations of Computer Science: Python Programming Part 2

Ready to take your programming skills beyond basic syntax and understand how software actually works? This course bridges the gap between writing simple scripts and thinking like a computer scientist. You will transition from basic coding to structuring larger programs, understanding how algorithms manage data, and writing maintainable code. By studying key computer science principles through written explanations and structured text-based exercises, you will gain the confidence to design more complex applications. What you'll learn: - Understand essential computer science concepts, including multi-dimensional arrays and matrix manipulation. - Design and structure programs using object-oriented programming principles in Python. - Apply modern Python features such as type hints and dataclasses for cleaner, more readable code. - Analyze and compare the efficiency of different searching and sorting algorithms. - Practice writing automated tests using pytest to ensure your code runs reliably. The course begins with foundational concepts of program organization and multi-dimensional data, then guides you through object-oriented design, algorithmic thinking, and modern software testing practices. This course is designed for learners who know the absolute basics of Python—such as variables, loops, and basic functions—and want to deepen their computer science knowledge. No advanced mathematics or prior computer science degree is required. Start reading today to elevate your programming skills to the next level.