helloallworlds
#6. Space Science with Python
Here are this week's 3 links worth exploring:
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There is a vast range of astronomical science being performed with open source tools. But it can be daunting for a non-scientist to explore. Thomas Albin means to change that with his Space Science with Python YouTube series of video tutorials. He shows the software tools used by the pros, how to calculate orbits of solar system objects, the programming behind space missions, machine learning the asteroids, and more: https://www.youtube.com/@Astroniz/videos
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Where is the Earth exactly located with respect to the Sun? Let's use Python to find out! SPICE is an observation geometry system for space science missions developed by NASA, comprising a library and toolkit. Though SPICE itself is not written in Python, I can use SPICE with the Pythonic wrapper SpiceyPy to start computing Earth's location and velocity: https://www.dwarmstrong.org/where-is-earth/
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DEVELOP is a NASA project to use its extensive Earth science data to solve real-world problems, partnering with other public agencies, non-profits and for-profits alike. dnppy is the DEVELOP National Program Python package, which opens up the toolkit used for working on NASA satellite data and NOAA datasets: https://github.com/NASA-DEVELOP/dnppy
Quote of the Week: "If you want to build a ship, don’t drum up the men to gather wood, divide the work, and give orders. Instead, teach them to yearn for the vast and endless sea." — Antoine de Saint-Exupéry
Onward!
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