barbagroup/AeroPython resource
Classical Aerodynamics of potential flow using Python and Jupyter Notebooks observed · 2026-08-28
Health v2 · maintenance only
33/100
- Activity 22
- Release rhythm 8
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4607
- days_rel: n/a
- days_push: 469
- n_releases_24m: 0
Adoption not part of the score
1013 stars · 534 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
AeroPython is a series of Jupyter Notebook lessons teaching classical aerodynamics of potential flow, developed as the core of a university course by Prof. Lorena Barba at George Washington University. It covers sources, sinks, doublets, vortices, and lift through interactive Python-based lessons with student assignments.
Use cases
- learn potential flow aerodynamics with Python
- university course materials for fluid mechanics
- interactive Jupyter notebooks for aerodynamics
- teach vortex and lift theory computationally
- self-study classical hydrodynamics
- engineering course assignments on source distributions
When to choose
- you want to learn or teach potential flow theory with hands-on Python code
- you need open, citable university-level aerodynamics course materials
- you prefer interactive Jupyter notebooks over textbooks
When to avoid
- you need CFD with viscous or turbulent flow simulation
- you want production aerodynamics software rather than educational materials
- you need a maintained library with an API
Facets
learning-resource · maturity stable
data-visualization simulation developer-tools education simulation tutorials python cross-platform jupyter-notebooks aerodynamics fluid-mechanics potential-flow engineering-education numerical-methods physics
3 sources
- readme: https://github.com/barbagroup/AeroPython · fetched 2026-08-28 · d5cdf83b4b79
- homepage: http://lorenabarba.com/ · fetched 2026-08-29 · bb933f0b1e54
- site_page: https://lorenabarba.com/blog/barba-group-website-rebuilt-with-ai-and-a-lesson-about-ownership · fetched 2026-08-29 · 3a6e18abecdb
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| barbagroup/AeroPython | main | 33 |
For agents
markdown · JSON · MCP: product_card(name="barbagroup/AeroPython")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem