Project Jupyter: Design Considerations for Interactive Computing
Guest Speaker: Brian Granger, Cal State San Luis Obispo
*Registration is Required.
Host: Design Lab
In the fourth installment of the Design@Large lecture series organized by the Design Lab at UC San Diego, Cal State San Luis Obispo professor Brian Granger tackles design considerations for interactive computing.
Project Jupyter is an open-source project that exists to develop software, open standards, and services for interactive and reproducible computing. The main application developed by the project is the Jupyter Notebook, a web-application that allows users to create documents that combine live code with narrative text, mathematical equations, and visualizations. Since its creation in 2011, the Jupyter Notebook has become a widely-used, open standard for developing, sharing, communicating, and reproducing computational work in scientific computing and data science. After introducing Project Jupyter and the ecosystem of projects around it, I will broaden the discussion to address the general design considerations for interactive computing and how those relate to 1) the underlying Jupyter software architecture and 2) ongoing work to design and build new user interfaces, such as JupyterLab, that better serve our users.
Brian Granger is an associate professor of physics and data science at Cal Poly State University in San Luis Obispo, CA. His research focuses on building open-source tools for interactive computing, data science, and data visualization. Brian is a leader of the IPython project, co-founder of Project Jupyter, co-founder of the Altair project for statistical visualization, and an active contributor to a number of other open-source projects focused on data science in Python. He is an advisory board member of NumFOCUS and a faculty fellow of the Cal Poly Center for Innovation and Entrepreneurship.
*Registration is Required