Calculating Distance Between Points in Python

Need to calculate distances for game development, data analysis, or mapping applications? Understanding coordinate geometry and learning how to translate mathematical formulas into clean, optimized code is a foundational skill for any developer. This text-based course guides you from basic geometric principles to writing robust, production-ready distance algorithms. By the end of this course, you will be able to confidently implement multiple distance metrics and structure your coordinate data using modern programming best practices. What you'll learn: - Understand the mathematical foundations of Cartesian coordinate systems in 2D and 3D space. - Implement the Pythagorean theorem and Euclidean distance formula using modern Python. - Apply type hints and dataclasses to represent coordinate points cleanly and securely. - Calculate alternative metrics like Manhattan and Chebyshev distance for grid-based pathfinding. - Explore the basics of geospatial coordinates and distance calculations on spherical surfaces. - Write structured unit tests with pytest to verify your distance functions against edge cases. This course begins with core definitions and basic geometric terminology before moving into step-by-step code implementations, structuring your data, and verifying your logic with tests. It is designed specifically for beginner programmers and aspiring data enthusiasts, with no advanced mathematical background required. Start writing precise, reliable geometric code today.