Tema Okun
JupyterCon 2020 keynote speaker announcement
JupyterCon 2020 keynote speaker announcement
JupyterCon 2020 keynote speaker announcement
JupyterCon 2020 keynote speaker announcement
One of the main changes in nbconvert 6 is the refactor of the template system, which should be easier to extend and build upon.
Summary of the EarthCube community meeting on July 27, 2020
JupyterCon 2020 keynote speaker announcement
Jupyter Book is an open source project for building beautiful, publication-quality books, websites, and documents from source material that contains computational content.
Building a cloud robotics development platform using JupyterLab and ROS
Building on a Jupyter Notebooks foundation, the de facto tool for data scientists, machine learning engineers and AI developers, Elyra is an open-source project that provides a set of AI-centric extensions to JupyterLab aiming to help users through the model development life cycle complexities…
JupyterCon 2020 keynote speaker announcement
JupyterCon 2020 keynote speaker announcement
JupyterCon 2020 keynote speaker announcement
Use Jupyter and 3D Slicer kernel to implement biomedical data processing workflows in a notebook.
With glee, on February 7, we announced the return of the Jupyter community conference as a global event to be held in Berlin, Germany, in August. In a burst of enthusiasm, 174 people signed up to review for the technical program (you still can!).
While it is well known in the Python scientific computing community, Jupyter is in fact a language-agnostic development environment. High-quality language kernels exist for the main languages of data sciences, such as Python, C++, R or Julia.
Jupyter has been a great choice for education for many years. The Jupyter Notebook has become one of the most popular tools to conduct workshops, tutorials, and teach online classes.
The JupyterHub and Binder Contributor in Residence. The first keepalive message.
The Jupyter widgets ecosystem offers a broad variety of data visualization tools for exploratory analysis in the notebook. However, we lack a good story for exploratory graph visualization.
Most of the progress made in software projects comes from incrementalism. The ability to quickly see the outcome of an execution and iterate has been one of the main reasons for the success of Jupyter, especially in scientific exploratory workflows.
This is the first of a series of posts describing tools in the JupyterHub ecosystem, written by our wonderful Contributor in Residence, Georgiana. For our first post, we’ll share some lore of JupyterHub, and tell you a story of how it all began…
nbviewer has moved from Rackspace to OVHcloud. That means moving from Docker to Kubernetes+Helm.
2019 was a busy, successful and exciting time for Jupyter Community Workshops! Led by community members, this global event series brought together small groups of people in order to strengthen the Jupyter community and for high-impact strategic work on focused topics.
This report is long overdue! From June 3rd to June 6th 2019, thirty-five developers from the Jupyter community met in Paris for a four-day workshop on dashboarding with Project Jupyter.
The announcement that the Jupyter community was eagerly anticipating!