barbagroup/CFDPython resource

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4118 stars · 1319 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

CFD Python is a series of Jupyter notebooks ('12 Steps to Navier-Stokes') that teach the foundations of Computational Fluid Dynamics by coding solutions to the governing PDEs of fluid flow. Created by Prof. Lorena Barba, it is designed for self-study or as course material, requiring only basic programming and some PDE background.

Use cases

• learn computational fluid dynamics from scratch
• self-study numerical solutions to Navier-Stokes equations
• teach a university CFD course with hands-on notebooks
• practice Python and NumPy through physics simulations
• understand numerical diffusion, accuracy, and convergence
• prepare for CFD research with foundational exercises

When to choose

• you want a step-by-step, incremental introduction to CFD
• you prefer learning by writing code rather than reading theory
• you need free, citable course material for fluid dynamics
• you have basic Python knowledge and PDE background

When to avoid

• you need production CFD simulation software
• you want a GUI-based fluid dynamics tool
• you have no interest in programming the solutions yourself

Facets

learning-resource · maturity stable

simulation data-visualization simulation education tutorials python cross-platform computational-fluid-dynamics jupyter-notebooks navier-stokes numerical-methods self-study education

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