LSST is an ambitious project to map the sky in the fastest, widest, and deepest survey ever made. The project’s petabyte-scale, 7 trillion-row database disrupts traditional astronomical workflows, and its science platform requires a paradigm shift in how astronomy is done. Adam Thornton discusses the challenges of providing production services on a notebook-based architecture and the compelling advantages of JupyterLab.
Adam Thornton is a software developer for the Large Synoptic Survey Telescope, where he focuses on data management, science quality, and reliability engineering and is working on the JupyterLab-based interactive component of the LSST science platform. He has nearly 30 years of development, IT consulting, and system administration experience in a wide variety of settings, from academic computing to Fortune 20 enterprises.
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