On August 26 it was revealed that a misconfiguration in Microsoft’s internal deployment of CosmosDB using Jupyter would allow attackers to access all customer data. Fortunately, they report no evidence that customer data was compromised.
Ploomber is an open-source framework that allows teams to develop maintainable pipelines in Jupyter.
TL:DR; All recent JupyterLab and Notebook versions are susceptible to a attack where a maliciously crafted notebook can trigger arbitrary code execution when a user views these malicious files.
When using a Jupyter Notebook to work on data science projects, I’ve found small user interface abstractions to be very useful. Scrubbing a slider or uploading a file can be more intuitive than editing a script and running it manually.
JupyterLite is a JupyterLab distribution that runs entirely in the web browser, backed by in-browser language kernels.
Collaborative editing — à la Google Docs — is a feature that you still rarely find in applications. One of the few good things that came out of this pandemic is that more people seem to care about making their applications fit for remote collaboration.
The Littlest JupyterHub is an extremely capable hub distribution that I’d recommend for situations where you expect, on average, under 100 active users.
RetroLab is an alternative JupyterLab distribution, built from the ground-up, providing a notebook interface with a retro look and feel.
We are proud to announce the recipients of the Jupyter Distinguished Contributor (JDC) award for the 2020 cohort of contributors.
Support for the Jupyter Debugger Protocol just landed in ipykernel
Jupyter notebooks are mostly known for their web-based user interface, such as JupyterLab or the Classic Notebook. They offer a great user experience, allow for rich output rendering, provide interactivity through e.g. widgets, and make possible working with remote kernels.
Last year we ran the first iteration of the JupyterHub Contributor in Residence role. This post is a short report about what we learned, in the hopes that it guides other projects in pursuing similar programs.
Last year, we set ourselves to implement a visual debugger for JupyterLab. This endeavor required major developments in the JupyterLab front-end, in core-Jupyter protocols, and on the kernel side (the part of the Jupyter infrastructure responsible for executing the code).
If there is one thing that recent events tell us, it is that genomics is a large source of data, and that its manipulation and understanding allow for the quick development of new drugs and… vaccines.
xeus-sql: A xeus-sqlite sequel
Diving into the implementation of xwidgets
Introducing a new Jupyter kernel for Robot Framework
Project Jupyter offers a complete suite of open-source tools for the scientific computing community, reaching from the exploratory phase of a project to the presentation of the results.
The 3.0 release of JupyterLab brings many new features to users and substantial improvements to the extension system.
The 2020 end-user survey is live!
In this post, we present the first public release of XVega, a C++ library for producing Vega-Lite charts.
Last month at JupyterCon’s final keynote, we proudly announced the recipients of the Jupyter Distinguished Contributor (JDC) award for the special election of our inaugural cohort of contributors.
In this blog post, we will introduce the Elyra code snippet extension, which enables us to reuse arbitrary snippets of code in your notebooks, source code, or markdown files in JupyterLab.
Scientific visualization in the Jupyter notebook
