As the demand grows for data science in industry and research, so does the need for tools to conduct, document, and share analysis. Project Jupyter has stepped up to meet this need with "open-source software, open-standards, and services for interactive computing across dozens of programming languages." Jupyter is now used by everyone from individuals doing personal projects on GitHub to major universities and corporations, including Microsoft and Google.
This talk will give an introduction to two key products of Project Jupyter: the Jupyter Notebook document and the multi-user JupyterHub. We will then share examples of how Jupyter is being leveraged to do data science accessibly, collaboratively, and at scale at UC Berkeley.