JupyterCon 2018, NYC August 21–25
Discover how data-driven organizations are using Jupyter to analyze data, share insights, and foster practices for dynamic, reproducible data science.
Jupyter Blog · Page 13
Reproducible Data Dependencies for Python [Guest Post]
Versioning, packaging, and execution are well understood and universally adopted in source code management. In this article we’ll explore a collection of services that version, package, and marshal data — Quilt.
Authoring Custom Jupyter Widgets
A Hands-On Guide
A Diagram Editor for JupyterLab
With the success of the notebook file format as a medium for communicating scientific results, more than an interactive development environment, Jupyter is turning into an interactive scientific authoring environment.
JupyterLab is Ready for Users
We are proud to announce the beta release series of JupyterLab, the next-generation web-based interface for Project Jupyter.
Security fix for JupyterHub GitLab OAuthenticator Group Whitelists
This vulnerability has been assigned CVE-2018-7206
Jupyter Pop-Up, March 21, Boston
A new series of local Jupyter events, starting in Boston
Announcing Jupyter Day Atlanta, Spring 2018
Jupyter Day Atlanta is a single-day conference showcasing the talented work by the Jupyter community and users.
JupyterCon 2018: Call For Proposal
It is with great pleasure that we are opening the Call For Proposals (CFP) for JupyterCon 2018!
Jupyter Notebook 5.3.0
We are pleased to announce the release of Jupyter Notebook 5.3.0.
Announcing the JupyterHub Helm Chart v0.5
JupyterHub makes it possible to serve Jupyter instances to multiple users. The JupyterHub Helm Chart makes it possible to run this setup on kubernetes, making JupyterHub more scalable, stable, and flexible.
Incident Report: Jupyter services down
update: December 14, 20:45 UTC, all services should be restored and back up.
Binder 2.0, a Tech Guide
With this post we are proud to announce the next version of Binder. It aims to be more modular, more flexible, more stable, faster, and more extensible than its predecessor.
Interactive Workflows for C++ with Jupyter
Scientists, educators and engineers not only use programming languages to build software systems, but also in interactive workflows, using the tools available to explore a problem and reason about it.
Public Notebooks and Security
tl;dr: don’t disable notebook authentication!
Enjoy JupyterCon 2017 on YouTube
About a year ago the Jupyter team started a partnership with O’Reilly Media and NumFOCUS to organize JupyterCon 2017, the first in a series of Jupyter-related conferences.
Congratulations to the LIGO and VIRGO Collaborations from Project Jupyter
On behalf of the entire Project Jupyter team, we’d like to say congratulations to Rainer Weiss, Barry C. Barish, Kip S. Thorne and the rest of the LIGO and VIRGO teams for the Nobel Prize in Physics 2017.
Jupyter Notebook 5.2.0
We are pleased to announce the release of Jupyter Notebook 5.2.0. This is a minor release that includes mostly bug fixes and improvements with the notable addition of RTL (right-to-left) support.
JupyterHub 0.8
We are pleased to announce the release of JupyterHub 0.8. This is a big release with many fixes and improvements, and some major changes.
Release of IPython 5.5 and 6.2
Four month after releasing IPython 6.1 and 5.4, and a couple of hours after the release of the notebook 5.1, we are happy to announce the release of IPython 6.2 (Python 3 only), and it’s cousin IPython 5.5 still compatible with Python 2.7.
Jupyter Notebook 5.1.0
We are pleased to announce the release of Jupyter Notebook 5.1.0. This is a minor release that includes mostly bug fixes and improvements with the notable addition of i18n (internationalization and localization) support.
JupyterCon NYC: August 22nd-25th
We’re just weeks away our first Jupyter community conference, JupyterCon. It will take place from August 22nd to 25th (and Sprints 26th), in the beautiful city of New York.
Introducing the Helm Chart for JupyterHub Deployment with Kubernetes
The JupyterHub team proudly announces the release of a helm chart for deploying JupyterHub on Kubernetes clusters. We’ve designed the JupyterHub helm chart to save you time in creating JupyterHub deployments.
Release of IPython 5.4, 6.1, and rlipython
Slightly over a month ago we released IPython 6.0: the first version of IPython to be compatible only with Python 3. The reception of IPython 6.0 was great, and the codebase way more maintainable.