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Python

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Data Wrangling
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Python in Astronomy

Python in Astronomy is a conference series focusing on the use, development, and community surrounding Python packages for all types of Astronomy.

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The Astropy Project is a community effort to develop a single core python package for common astronomical computing tasks and to provide a framework which fosters interoperability between Python astronomy packages.

Astropy was one of the projects used in the LIGO gravitational waves discovery. Astropy is used by a large and growing number of organizations and projects worldwide, including: the Association of Universities for Research in Astronomy (AURA); the Hubble Space Telescope and James Webb Space Telescope pipelines, including many instrumentation support, observation planning, and data analysis codes; science pipelines for the forthcoming Large Synoptic Survey Telescope; many European Southern Observatory (ESO) instrument pipelines, including (e.g.) the MUSE Python Data Analysis Framework; Gemini Observatory’s science, data quality, and reduction pipelines; the pipeline framework for the Cherenkov Telescope Array; major SDSS surveys, including MaNGA, APOGEE, and eBOSS; codebases for the SAMI Galaxy Survey and the Close AGN Reference Survey; and Astropy’s table and units functionality is also used by organizations outside of astronomy, including the Norway Mapping Authority.

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