Setting Up Optical Systems with Jones Calculus in Python

Modern optical design relies heavily on computational modeling to predict how light behaves when passing through complex polarizers, waveplates, and retarders. This text-based course guides you through the foundational math of Jones calculus and shows you how to translate those physical principles into clean, executable Python code. You will start with the fundamental physics of polarized light before moving on to building matrix representations of real-world optical components. By the end of this course, you will be able to construct complete optical system matrices, compute eigenvectors, and solve for input light Jones vectors programmatically. What you'll learn: Understand the core mathematical principles of polarized light and Jones vector representations; Construct Jones matrices for standard optical components like linear polarizers and waveplates; Build and multiply system matrices to model multi-element optical setups in Python; Apply modern Python libraries to calculate eigenvalues and eigenvectors for polarization states; Solve complex optical propagation equations using clean, structured code; Practice writing clean numerical scripts with type hints and modern virtual environment workflows. You will begin with essential terminology and the mathematical foundations of polarization, then progress through step-by-step written tutorials that build your coding skills alongside your optical physics knowledge. This course is designed for beginners in computational optics, physics students, and software developers interested in scientific computing, with no prior experience in optical modeling required. Start mastering computational optics today through clear, step-by-step written guidance.