Jupyter Notebook 5 Adds Cell Tagging
Written by Kay Ewbank   
Thursday, 06 April 2017

Version 5.0 of Jupyter Notebook is the first major release since the 'big split' of IPython and Jupyter. It dds cell tagging, customizing keyboard shortcuts, and copying & pasting cells between notebooks.

jupyterlogo

Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text.

The addition of cell tagging gives you a lightweight way to customize the behavior of tools working with notebooks. The developers are building support for cell tags into tools like nbconvert and nbval. The developers said back in January that:

"We know there's a lot more that can be done with the cell tagging UI, but we've been putting off doing it for ages because of making a good UI for it. So Vidar suggested, and I agreed, that he builds a minimal working UI to put into notebook 5.0 (which I hope will be soon) so that we can start playing with tags, and enhance it later."

 

So while this first incarnation is fairly minimal, it should get better in later versions.

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The ability to customize keyboard shortcuts is another area of improvement. This ability has actually been available since IPython 2.0, but meant you had to edit your custom.js. You can now edit keyboard shortcuts using a dialog in the Help menu, and support is available for both emacs-like (multiple keys at once) and vim-like (sequence of key) shortcuts.

There's a new detault Table style that is described as "more compact and subtle and consistent with JupyterLab".

Among the other improvements, markdown cells now support attachments, and you can add the attachment by dragging and dropping an image from your desktop to a markdown cell to add it.

Undoing cell deletion now supports undeleting multiple cells, though cells might be undeleted in a different order from the way they were before deletion, depending on the actions you did on the meantime.

 

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More Information

Project Jupyter

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Last Updated ( Thursday, 06 April 2017 )