The Toolbox App is the easiest way to get EAP builds and keep your stable and EAP versions up to date. Finally, debugging and package management just got easier with an interactive debug console in the Jupyter Notebook Debugger and a fully functional Python Packages Tool Window. This second EAP build also contains new features to convert a Jupyter Notebook into a Python script and vice versa, to drag and drop a CSV to create a Pandas DataFrame, and to change the default number of rows displayed for a DataFrame. Please share your experience in comments below and on Twitter.Many DataSpell users requested the ability to organize their work into multiple projects with completely separate environments and in DataSpell 2023.1 EAP 2 we have delivered! 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. Alternatively, you can use the context menu (with a right-click) and select the Copy action from there. 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. 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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