I am happy to announce that Jupyter Docker Stacks project now provides GPU accelerated Docker images. This allows PyTorch or TensorFlow operations to use compatible NVIDIA GPUs for accelerated computation.
We are pleased to announce UI Mode features recently added to JupyterLab Desktop (JLD). JupyterLab Desktop now…
JupyterLab 4.1 and Notebook 7.1 are now available! These releases include several…
Curvenote is now a part of the mybinder.org federation. By hosting a BinderHub…
The JupyterLab Council has agreed to an important change to JupyterLab’s version lifecycle. Each major version of JupyterLab will now receive updates until one year after the following major version’s first release. JupyterLab 4.0.0 was released on May 15, 2023, so…
A few weeks back, jupytext==1.16.0 went out. That release included multiple amazing contributions by Mahendra…
jupytext==1.16.0
Towards a more accessible Jupyter Notebook
Upcoming versions of JupyterLab (4.1.0) and Notebook (7.1.0) will include major keyboard accessibility fixes.
We want to see all the cool things you’re doing with Jupyter, so we’re holding an open call with the community for people to chat, and share their creations and work. Think of it as a “virtual JupyterCon”: It’s a place to announce and share fun things happening in the Jupyter community.
Kernels are a simple but powerful abstraction in the Jupyter architecture. They…
![Screenshot of a Jupyter notebook with 3 cells visible. The first cell [2] contains a line of R code that uses cat and glue to print “hello world” with “world” coloured in green thanks the col_green function from the cli package. The second cell [3] shows the command head(mtcars) which outputs a plain text version of the first 6 rows of the mtcars data frame. The third cell [9] contains R code that loads the tibble package and then prints mtcars as a tibble, therefore benefitting from formatting.](https://cdn-images-1.medium.com/fit/t/1600/480/1*XznRckf13HpNy_S7h7-_iA.png)
