Datalayer 0.2.0 O'Malley
Datalayer 0.2.0 O'Malley is released on November 11, 2023 and delivers a preview of the much awaited Remote Kernels feature.
O'Malley, a feral cat who befriends Duchess and her kittens, becoming a father figure and a step-father to the kittens and falling in love with Duchess. For cultural reasons, the Italian dubbing of the film changes him to “Romeo, er mejo der Colosseo” ("The best cat of the Colosseum" in Romanesco dialect), an Italian cat from Rome speaking with a strong Roman accent; the reason for this change is that alley cats were well-known for frequenting the Colosseum at the time.
Release notes
Datalayer Run 0.1.0
Datalayer Run is a solution to scale your JupyterLab in the cloud with Remote Kernels and Local Files.
A Jupyter Kernel is the place where the computation of your Jupyter Notebook is happening. A Kernel is separated from the Notebook, hence can run your code remotely on a different system.
Datalayer Run 0.1.0 is being released in a PREVIEW mode. This means that the account you have created will not stay and can be removed at any time based on Datalayer's new releases.
Datalayer Run is a JupyterLab extension. To install it, just run the following command in your terminal.
pip install datalayer-run
You will need python>=3.9 and pip available on your machine. Launch JupyterLab as usual.
jupyter lab
Datalayer Run introduces a new element at the top of the JupyterLab launcher. Click on it and then authenticate. If this is your fist contact with Datalayer, you will need an account. Just fill in a few details and check your mailbox for the confirmation code. Once authenticated, Datalayer takes care of the rest and will create the needed services for you in its own infrastructure.
You don't have to worry on anything, just wait on the green light that should appear on your Home page. Once the services are available, it may take a bit of time to have your kernels up-and-running. For now, we offer you 3 differents remote kernels. The Home page also list your local machine Kernels, and will offer in next releases the ability to create local browser Kernels.