He works on making it easy for people who don’t traditionally consider themselves “programmers” to do things with code. Yuvi Panda is the Project Jupyter Technical Operations Architect in the UC Berkeley Data Sciences Division. Jessica has also worked as a machine learning researcher and data scientist in a variety of applications including healthcare, energy, and human capital. Her previous open source projects include datamicroscopes, a DARPA-funded Bayesian nonparametrics library in Python, and density, a wireless device data tool at Columbia University. At Project Jupyter, she works primarily on JupyterHub, Binder, and JuptyerLab to improve access to scientific computing and scientific research. ![]() Jessica Forde is a Project Jupyter Maintainer with a background in reinforcement learning and Bayesian statistics. We also talk about Binder, an interactive development environment that makes work easily reproducible. We dive specifically into JupyterHub using Kubernetes to enable a multi-user server. ![]() Jessica Forde, Yuvi Panda and Chris Holdgraf join Melanie and Mark to discuss Project Jupyter from it’s interactive notebook origin story to the various open source modular projects it’s grown into supporting data research and applications.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |