I gave a presentation on the use of Python in aerospace engineering

This page summarizes the projects mentioned and recommended in the original post on /r/AerospaceEngineering

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  • AeroSandbox

    Aircraft design optimization made fast through modern automatic differentiation. Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.

    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.

  • pymae

    Materials for the book "Python for Mechanical and Aerospace Engineering"

    Please let me know if you end up getting Python integrated into your work. The reason I was invited to speak to NLR is because I wrote a book about Python for mech/aero engineering (website here, github here, but it's really aimed at learning the language. I'm considering trying to get materials together to make a follow-up book that addresses "Great, I've learned the language. Now what?"

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    Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.

  • plotly

    The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

    I've found that I love Plotly for all of my plotting work, but many of my coworkers stick to matplotlib.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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