{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"Data Engineering as a Scientific Tool","description":"In this episode, host Peter Wang is joined by Dr. Patrick Kavanagh, an astrophysicist and software developer at the  Dublin Institute for Advanced Studies. Patrick works on the James Webb Space Telescope (JWST), helping to write code that allows scientists to interpret the raw data they receive from space.  Patrick talks to Peter about cleaning telescope data sets to make them more scientifically useful, and more. Patrick\u2019s team working on the Mid-Infrared Instrument on the JWST writes software in Python to help deliver science-ready data to astronomers and astrophysicists. Patrick\u2019s work facilitates more precise study of distant stars and galaxies in a way that fosters public trust.  Peter Wang - https:\/\/www.linkedin.com\/in\/pzwang\/ Dublin Institute for Advanced Studies -  https:\/\/www.linkedin.com\/school\/dublin-institute-for-advanced-studies\/ James Webb Space Telescope - https:\/\/webb.nasa.gov\/ &amp;nbsp; &amp;nbsp; Check out these relevant resources:   Dr. Patrick Kavanagh - EuroPython  Python and James Webb  Judy Schmidt (citizen scientist)&amp;nbsp;  If you enjoyed today\u2019s show, please leave a 5-star review. For more information, visit anaconda.com\/podcast. &amp;nbsp; &amp;nbsp; #Computing #AI #Data #DataScience #Analytics ","author_name":"Numerically Speaking: The Anaconda Podcast","author_url":"https:\/\/sites.libsyn.com\/422309","html":"<iframe title=\"Libsyn Player\" style=\"border: none\" src=\"\/\/html5-player.libsyn.com\/embed\/episode\/id\/25572903\/height\/90\/theme\/custom\/thumbnail\/yes\/direction\/forward\/render-playlist\/no\/custom-color\/88AA3C\/\" height=\"90\" width=\"600\" scrolling=\"no\"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen><\/iframe>","thumbnail_url":"https:\/\/assets.libsyn.com\/secure\/content\/144104766"}