Description
Jupyter has long been proven to be a tool of choice in the data science and scientific computing community. At NASA’s Jet Propulsion Laboratory, we have built upon those foundations to answer engineering challenges and prove that with innovative approaches, the use cases that can benefit from the Jupyter ecosystem are endless. With modular extensions and novel methods, we are able to perform system-level and physics-based modeling, trade studies, automated pipelines of engineering reports, hardware testing procedures, and more.
In this talk, we share our experience of using Jupyter as an integration platform and multi-domain engineering tool, and why we believe that with the correct approach, Jupyter can be extended to do just about anything.