Project Jupyter: from interactive data science to reproducible research

Project Jupyter: from interactive data science to reproducible research

Neyman Seminar
Oct 19, 2016, 04:00 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Fernando Perez, Data Science and Technology Division of Lawrence Berkeley National Laboratory, Berkeley Institute for Data Science (Speaker)
Project Jupyter, evolved from the IPython environment, provides a platform for interactive computing that is widely used today in research, education, journalism and industry. The core premise of the Jupyter architecture is to design tools around the experience of interactive computing. It provides an environment, protocol, file format and libraries optimized for the computational process when...