IPython is a powerful Python REPL that gives you tab completion, better tracebacks, multiline editing, and several useful features on top of pure Python Scripts. It is also the library that powers the Jupyter Kernel via the IPykernel.
At long last, Jupyter accessibility workshops are here! This is a series of Jupyter community workshops aimed at increasing accessibility awareness within the ecosystem and making Jupyter projects more usable for disabled people.
Project Jupyter is happy to share some exciting news in key efforts to connect the global Jupyter community.
Ipycanvas + Box2D
TL;DR: Voilà 0.3.0 is now available!
Hubs and roles and scopes, oh my!
Updates on IPython Parallel; new features, future direction
I recently did some work on the mybinder.org deployment infrastructure to solve a problem with testing Pull Requests before deployment. It had not been possible to test Pull Requests on our staging deployment because our automated workflows don’t have access to secrets.
JupyterLite + Xeus = ❤️️
The Jupyter community is pleased to announce that members of its community have received three awards from the CZI Essential Open Source Software grant series.
How to better communicate with Jupyter notebooks
Announcing a major release of the Xeus library
A new Jupyter kernel for Lua based on Xeus
We are pleased to announce the release of desktop application for JupyterLab!
Trusted CI is the US National Science Foundation Cybersecurity Center of Excellence, staffed by cybersecurity experts who have spent decades working with science and engineering communities and who have established track records in terms of usable, high-quality solutions suited to the needs of…
We would like to acknowledge that it has recently come to our attention that a Jupyter event that took place in late Summer 2021 did not follow the agreed-upon COVID safety guidelines.
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.
