Project Jupyter: From interactive Python to open science
Fernando Prez opens JupyterCon with an overview of Project Jupyter, describing how it fits into a vision of collaborative, community-based open development of tools applicable to research, education, and industry.
| Talk Title | Project Jupyter: From interactive Python to open science |
| Speakers | Fernando Perez (UC Berkeley and Lawrence Berkeley National Laboratory) |
| Conference | JupyterCon in New York 2017 |
| Conf Tag | |
| Location | New York, New York |
| Date | August 23-25, 2017 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
Jupyter provides a complete architecture for humans to explore computational problems and data-intensive questions interactively, supporting individual research as well as the communication and sharing of results. Project Jupyter takes a layered approach: open protocols and formats are implemented in libraries and exposed in a variety of end-user tools ranging from the IPython console to the next-generation JupyterLab. This layered design allows an open community to thrive, building new tools at different levels in the stack. Fernando Pérez opens JupyterCon with an overview of Project Jupyter, describing how it fits into a vision of collaborative, community-based open development of tools applicable to research, education, and industry.
