3D Surface Plotting in Python: Modeling a Torus

Visualizing complex mathematical shapes in three dimensions is a fundamental skill for data scientists, researchers, and developers. Creating a 3D torus requires translating parametric equations into clean, executable Python code. This text-based course guides you through the process of rendering 3D surfaces from scratch. You will learn the core mathematical concepts behind parametric surfaces and translate them into visual structures using modern Python library conventions. What you'll learn: Understand the foundational geometry and parametric equations of a torus; Set up your Python environment with modern packaging tools and clean imports; Generate 3D coordinate grids using NumPy for surface mesh generation; Configure Matplotlib to render custom 3D surface plots with distinct color maps; Apply type hints and modern code formatting to your scientific Python scripts; Customize 3D camera angles, lighting, and axis properties for clear data presentation. You will start with basic mathematical definitions and step-by-step coordinate generation. Then, you will progress to configuring 3D axes, applying custom styles, and rendering the final torus model. This course is designed for beginner Python developers, students, and analysts who want to learn 3D visualization. No prior experience with 3D plotting is required. Start coding and bring your mathematical models to life in three dimensions.