Introduction to Computational Fluid Dynamics (CFD) with Python

Computational Fluid Dynamics (CFD) is the cornerstone of modern engineering, allowing us to simulate how liquids and gases behave in real-world scenarios. This text-based course guides you through the core mathematical and programming principles behind fluid simulations. You will transition from understanding basic physics equations to reading and analyzing clean Python code that solves fluid flow problems. What you will learn: First, understand the governing equations of fluid dynamics, including the Navier-Stokes equations. Second, apply the Finite Volume Method to discretize diffusion and convection problems. Third, configure numerical grid generation and set up boundary conditions. Fourth, read structured Python code utilizing modern programming practices. Fifth, analyze simulation stability and convergence criteria. The course begins with essential terminology, basic concepts, and foundational physics before moving on to numerical discretization and code-based examples. Designed for beginners, this course requires no prior simulation experience. Start reading today to unlock the fundamentals of numerical fluid simulation.