![]() ![]() DataSpell 2023.1.1 provides more precise measurement of execution time, displaying the number of days, hours, minutes, seconds, and milliseconds it took to execute a cell, instead of a single unit like minutes. DataSpell 2023.1 displays both the last time a code cell was executed and the execution time (duration) directly below every cell. Since some Jupyter Notebook cells run for a long time, it can be useful to know the execution time of a cell. Please share your experience in comments below and on Twitter.DataSpell 2023.1.1 provides more precise measurement of cell execution time, fixes for missing DataFrame table data, and more.ĭownload the new version from our website, directly from the IDE, via the free Toolbox App, or use snaps for Ubuntu.ĭownload DataSpell 2023.1.1 Execution time updates 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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