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.
This excerpt from Jake VanderPlas' Python Data Science Handbook
Project Jupyter co-founder Brian Granger on the JupyterLab project, its potential role in scientific and tech communities, and the expanding role of notebooks.
Jupyter for sharing and prototyping, Jupyter in academia, and FAIR principles.
Script generation from RNNs, Tensorflow book companion notebooks, transportation insights from notebooks, machine learning notebooks.
O'Reilly Media is using our Atlas platform to make Jupyter Notebooks a first class authoring environment for our publishing program.
It’s pretty easy to grasp the concept, but it’s a tricky algorithm to implement.
The front end to data science and machine learning.
New York, NY
JupyterCon in New York 2017
Fernando Pérez is a staff scientist at Lawrence Berkeley National Laboratory and and a founding investigator of the Berkeley Institute for Data Scien...
“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