instal the new JetBrains DataSpell 2023.1.3

You can install and uninstall the package and manage its version. You will see the list of the available packages on the left-hand side of the tool window. Open the tool window and choose a project to work with in the additional panel on the left. If you work with an additional project attached to your main project, you can now manage the packages of both projects in the Python Packages tool window. Manage the packages of the attached projects Reconnect to a remote server by selecting Reconnect.Fetch the latest remote version of the notebook from the server by selecting Reload from Server.Copy, paste, and rename remote Jupyter notebooks between local and remote machines.The context menu offers a range of notebook-related actions you can use: Please note that the server will be bound to this specific project, meaning that if you want to work with this server for another project, you will need to repeat these steps to attach it to that particular project. Īfter establishing a successful connection, P圜harm will show the remote Jupyter server in the project view. In the popup that comes up, choose Connect to Jupyter server using URL and then enter the server URL. In the main menu, select Tools | Add Jupyter Connection.

To do so, open the project you want to attach a remote Jupyter notebook to in P圜harm. You can now easily work with the remote Jupyter notebooks from P圜harm. Let’s take a closer look at these and other changes in this build. You can download it from our website, get it from the free Toolbox App, or update to it using snaps for Ubuntu.

The third EAP build brings the long-awaited ability to work with remote Jupyter notebooks, enhancements to the new UI, new Astro support, and more.

Instal the new JetBrains DataSpell 2023.1.3