How Python is Behind the Science of the James Webb Space Telescope
summary
Covers early scientific results from the James Webb Space Telescope (JWST) — such as detection of early galaxies, studies of star and planet formation, and exoplanet observations — and explains how those results were produced using Python and the open-source Python scientific ecosystem. Names Python as the primary language for most JWST science and discusses how Python tools enabled analysis and discovery.
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chapters (7)
- 0:00Introduction
- 7:25What does Python have to do with JWST?
- 8:52What is a "data reduction pipeline"?
- 12:49How Python is used by the "data reduction pipelines"
- 20:22Data Analysis Tools include Notebook-based Training
- 22:33How Python is used for the "data analysis tools"
- 29:44Final Thoughts
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