Making Orbital Mechanics More Accessible With Poliastro

Summary Outer space holds a deep fascination for people of all ages, and the key principle in its exploration both near and far is orbital mechanics. Poliastro is a pure Python package for exploring and simulating orbit calculations. In this episode Juan Luis Cano Rodriguez shares the story behind the project, how you can use it to learn more about space travel, and some of the interesting projects that have used it for planning planetary and interplanetary missions. Announcements Hello and welcome to Podcast.__init__, the podcast about Python’s role in data and science. When you’re ready to launch your next app or want to try a project you hear about on the show, you’ll need somewhere to deploy it, so take a look at our friends over at Linode. With the launch of their managed Kubernetes platform it’s easy to get started with the next generation of deployment and scaling, powered by the battle tested Linode platform, including simple pricing, node balancers, 40Gbit networking, dedicated CPU and GPU instances, and worldwide data centers. Go to pythonpodcast.com/linode and get a $100 credit to try out a Kubernetes cluster of your own. And don’t forget to thank them for their continued support of this show! Your host as usual is Tobias Macey and today I’m interviewing Juan Luis Cano Rodriguez about Poliastro, an open source library for interactive Astrodynamics and Orbital Mechanics, with a focus on ease of use, speed, and quick visualization. Interview Introductions How did you get introduced to Python? Can you describe what Poliastro is and the story behind it? What are some of the simulations that Poliastro is designed to be used for? How much knowledge of orbital mechanics is necessary to get started with Poliastro? Can you describe how the project is implemented? How have the goals and design of the project changed or evolved since you first started it? What are some of the design philosophies that you focus on to make the package accessible to the range of users that you support? Can you talk through the workflow of using Poliastro to do something like track the path of the ISS and its traversal of the debris field from the recent satellite destruction? What are some of the other libraries or frameworks that are commonly used with Poliastro? How are you using Poliastro in your own work? What are some overlooked or underused aspects of the project that you would like to highlight? What are the most interesting, innovative, or unexpected ways that you have seen Poliastro used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on Poliastro? When is Poliastro the wrong choice? What do you have planned for the future of Poliastro? Keep In Touch LinkedIn GitHub Email Twitter Picks Tobias Josh Blue (comedian) Juan Luis DJ Cotts DJ Weaver Closing Announcements Thank you for listening! Don’t forget to check out our other show, the Data Engineering Podcast for the latest on modern data management. Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes. If you’ve learned something or tried out a project from the show then tell us about it! Email [email protected]) with your story. To help other people find the show please leave a review on iTunes and tell your friends and co-workers Links Poliastro Fortran 90 (if only this community existed back then! https://ondrejcertik.com/blog/2021/03/resurrecting-fortran/)?utm_source=rss&utm_medium=rss Satellogic Read the Docs Wolfram Alpha Mathematica SageMath 2-Body Problem AstroPy Podcast Episode Numba Import Linter Vallado "Fundamentals of Astrodynamics" International Space Station Starlink Satellites Planetary Ephemeritas Data Satellite Data Kerbal Space Program NumFOCUS Open Collective Python SGP4 Libre Space Foundation The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA