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Space Science with Python

Episode #393, published Thu, Dec 8, 2022, recorded Wed, Nov 30, 2022

Space science is one of the few sciences that can spark wonder and imagining in almost anyone. It also happens to be the domain of Python with many missions, telescopes, and analysis happening with Python playing a major role. On this episode we have Thomas Albin who has worked on several recent space missions. He has created a delightful YouTube channel called Space Science with Python. It's approachable and yet concrete and realistic. We are going to dive into some of his videos and see how Python can model things like astroid fly-bys and render comets in 3D.

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Links from the show

Thomas Albin: astrodon.social/@ThomasAlbin
Thomas on Twitter: @MrAstroThomas

YouTube Channels
Thomas' Space Science Channel: youtube.com
Dr Becky's Channel: youtube.com
Astrum Channel: youtube.com/@astrumspace
Talk Python's Channel: youtube.comyoutube.com/@talkpython
Michael's Channel: youtube.com/@mikeckennedy

Cassini Mission: nasa.gov
Comet: 67P/Churyumov–Gerasimenko: wikipedia.org
Code from the series: github.com

Space Science with Python Play List: youtube.com
Video: Comet in 3D: youtube.com
Video: Philae's Landing: youtube.com
Video: Support Vector Machines - Intro: youtube.com
Video: Autoencoder Latent Space Visualization: youtube.com

Packages
spiceypy: pypi.org
imageio: pypi.org
visvis: github.com
astropy: astropy.org
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm

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Thomas Albin
Thomas Albin
Thomas Albin is a Senior Machine Learning Engineer and scientist from Stuttgart, Germany. Before he joined the automotive industry, Thomas studied Astrophysics and worked on 2 space missions (ESA' mission Rosetta/Philae & NASA/ESA's mission Cassini/Huygens). To continue with his passion for astronomy and education, he created a YouTube channel, focusing on conducting space-related data analysis, machine learning and general coding tutorials using Python.
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