AeroSandbox
Zygote-Mutating-Arrays-WorkAround.jl
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| AeroSandbox | Zygote-Mutating-Arrays-WorkAround.jl | |
|---|---|---|
| 6 | 1 | |
| 647 | 29 | |
| - | - | |
| 9.7 | 0.0 | |
| 8 days ago | over 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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AeroSandbox
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UAV DESIGN
this guy's Python library, validated against AVL and - XFLR5 https://peterdsharpe.github.io/AeroSandbox/
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Airfoil smoothing and/or point interpolation algorithms?
You can use the AeroSandbox Python package for this. pip install aerosandbox to install, and then:
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I gave a presentation on the use of Python in aerospace engineering
AeroSandbox - an optimization suite that combines the ease-of-use of NumPy syntax with the power of modern automatic differentiation. AeroSandbox contains dozens of end-to-end-differentiable aerospace physics models, allowing you to simultaneously optimize an aircraft's aerodynamics, structures, propulsion, mission trajectory, stability, and more. Best of all, it is designed to be run on a laptop, not a supercomputer.
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Looking free or opensource aerodynamics software
This might be the sort of thing you're looking for.
- AeroSandbox
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Run and visualise an aerodynamic simulation
I would like to use a library. I saw AeroSandbox who looks great but it seem that I can't load a custom file. Here's the GitHub : https://github.com/peterdsharpe/AeroSandbox
Zygote-Mutating-Arrays-WorkAround.jl
What are some alternatives?
AeroPython - Classical Aerodynamics of potential flow using Python and Jupyter Notebooks
JuliaTutorials - Learn Julia via interactive tutorials!
PteraSoftware - Ptera Software is a fast, easy-to-use, and open-source software package for analyzing flapping-wing flight.
Unitful.jl - Physical quantities with arbitrary units
CFDPython - A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
DataScience - Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
jsbsim - An open source flight dynamics & control software library
Julia-DataFrames-Tutorial - A tutorial on Julia DataFrames package
AlgorithmicTrading - This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
NonlinearSolve.jl - High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
xflrpy - xflrpy is a python enabled version of xflr5 for scripting and design optimization.
Zygote-Mutating-Arrays-WorkArou