Aerodynamics in Python.
Project description
ezaero (easy-aero) is an open source Python package oriented to implement numerical methods for Aerodynamics, such as the 3D Vortex lattice Method for lifting surfaces.
Documentation
API documentation and examples can be found on https://ezaero.readthedocs.io.
Examples
You can check out the examples in the gallery, and export them as .py scripts or Jupyter notebooks to continue exploring!
Requirements
ezaero has the following dependencies:
Python (>=3.6)
NumPy
matplotlib
ezaero is tested on Linux, Windows and OS X on Python 3.6 and 3.7.
Platform |
Site |
Status |
---|---|---|
Linux / OS X |
Travis CI |
|
Windows x64 |
Appveyor |
Installation
To install the package, simply use pip:
$ pip install ezaero
Contributing
All contributions and suggestions are welcome! For more details, check out CONTRIBUTING.rst.
Motivation
This library is a free-time project. I am using it as an excuse to:
Experiment the performance of several scientific computing packages and tools (NumPy, Numba, etc.) applied to a computation-intensive application.
Learn how to properly package an open source Python library, leveraging testing with the excelent free CI tools.
Redo properly (in terms of performance optimization, SW best practices, …) a project I enjoyed a lot during my Master Thesis, back in 2014. I have always been curious to know how much could I improve the code performance.
My thesis covered the analysis of the aeroelastic response of an UAV in a gust scenario.
My plan is to implement the following modules in order:
3D steady VLM
3D then unsteady VLM
Wing motion equation solver (aeroelastic response)
If for some reason you run across this project, and find it useful or have suggestions, don’t be shy! feel free to contribute or drop me a line.
Project details
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