Linear Algebra for 3D Modeling with Python in Blender

Linear algebra powers modern computer graphics, 3D modeling, and visual automation, but learning abstract math in isolation can be challenging. This written course bridges core mathematical concepts with practical 3D scripting using Python and Blender. You will start by mastering foundational mathematical terminology, vector operations, coordinate spaces, and transformation matrices. As you progress, you will apply these core concepts through written explanations and code snippets, learning how to manipulate objects, calculate surface normals, and automate 3D modeling tasks directly within Blender. What you will learn: Understand key linear algebra concepts including vectors, dot products, cross products, and transformation matrices. Calculate and manipulate surface normals and coordinate systems for 3D mesh structures. Write Python scripts using modern API standards to construct and modify geometry programmatically. Apply mathematical formulas to solve object placement, alignment, and motion dynamics problems. Implement structured Python code with type hints for clear 3D scripting workflows. Automate repetitive modeling tasks and procedural spatial transformations. The material guides you step-by-step from fundamental math definitions to spatial problem-solving in code. This course is designed for beginners in 3D graphics, Python enthusiasts, and curious learners seeking a hands-on approach to linear algebra without pre-existing advanced math knowledge. Start building your combined understanding of spatial math and 3D scripting today.