![]() ![]() DataSpell 2022.1 EAP 1 allows you to connect to JupyterHub version 2.0 by URL. Remote Jupyter support Support for JupyterHub 2.0. Please share your experience in comments below and on Twitter. Another addition is the DataSpell Onboarding Tour users who are new to DataSpell can leverage it to get started quickly. With this release, we’ve significantly improved the way these tables are rendered, as well as the look of the tables that are displayed in interactive outputs. The Jupyter notebook editor in DataSpell allows you to create and edit both Markdown and HTML tables in Markdown cells. Pandas DataFrame Column Name Completion Better Data Vision Data Vision allows you to view useful information next to variables in your Jupyter notebooks. Alternatively, you can use the context menu (with a right-click) and select the Copy action from there. DataSpell 2023.1 EAP 1 provides DataFrame column name completion, auto-completion for dynamic classes and path completion for remote Jupyter servers. I want all the advantages of DataSpell on my local computer (git, debugging, auto-complete, refactoring, etc.), while having all the advantages of a SageMaker instance on AWS (scalable compute hardware, fast training, etc.) to run python and Jupyter notebook files. Alternatively, with Dash 2.11 or later, you can run this app and other examples from this documentation in a Jupyter Notebook. VS Code integrates well with WSL so you can develop on Windows or Linux with a simple integrated approach. I have written about using WSL in the past. To do this you’ll need to establish a connection with a remote server, select the folder you want to copy, and use Ctrl + C and Ctrl + V to copy and paste it. If you have a remote Jupyter server, you can connect to that as well. You can now copy-paste both files and directories from your local machine to remote Jupyter servers, and vice versa. ![]() Copy-paste directories between the local machine and the remote Jupyter server You can download the new version from our website, update directly from the IDE, update via the free Toolbox App, or use snaps for Ubuntu. The first minor update to DataSpell 2022.2 brings the ability to copy-paste directories between your local machine and remote Jupyter servers, as well as better rendering for Markdown and HTML tables in the Jupyter editor. ![]()
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