Project Jupyter co-founder Brian Granger on the JupyterLab project, its potential role in scientific and tech communities, and the expanding role of notebooks.
One of our goals is to bring Jupyter’s enterprise use cases and practices into one place.
Both reproducible science and open source are necessary for collaboration at scale—the nexus for that intermingling is Jupyter.
Discover how data-driven organizations are using Jupyter to analyze data, share insights, and foster practices for dynamic, reproducible data science.
To succeed in digital transformation, businesses need to adopt tools that enable collaboration, sharing, and rapid deployment. Jupyter fits that bill.
How Project Jupyter got here and where we are headed.
A step-by-step tutorial on how to install and run JupyterHub on gcloud.
O'Reilly Media is using our Atlas platform to make Jupyter Notebooks a first class authoring environment for our publishing program.
“Jupyter Notebook is the new front end for data science and AI at both a strategic and tactical level -- if your organization needs to increase your analytical capacity at scale, you need Jupyter.”— Andrew Odewahn, CTO, OReilly Media