Jupyter for Science User Facilities and High Performance Computing

1 · JupyterHub · July 10, 2019, 12:15 a.m.
Jupyter is the “Google Docs” of data science. It provides that same kind of easy-to-use ecosystem, but for interactive data exploration, modeling, and analysis. Just as people have come to expect to be able to use Google Docs everywhere, scientists assume that Jupyter is there for them whenever and wherever they open their laptops.But what if the data you want to interact with through Jupyter doesn’t fit on your laptop or is excruciating to move? What if the model you want to build and test requ...