Explore how Python powers the groundbreaking science behind the James Webb Space Telescope (JWST) in this PyCon US talk. Discover the telescope's mission to revolutionize infrared astronomy, from finding the earliest galaxies to searching for potentially habitable exoplanets. Learn about the crucial role Python plays in JWST's data reduction pipelines and analysis tools, including notebook-based training. Gain insights into the open-source Python scientific ecosystem's contribution to this monumental project and its impact on our understanding of the cosmos.
How Python is Behind the Science of the James Webb Space Telescope
Overview
Syllabus
Introduction
What does Python have to do with JWST?
What is a "data reduction pipeline"?
How Python is used by the "data reduction pipelines"
Data Analysis Tools include Notebook-based Training
How Python is used for the "data analysis tools"
Final Thoughts
Taught by
PyCon US
