While DataSpell’s support for local Jupyter notebooks is now also bundled with P圜harm Professional, DataSpell offers more out of the box for data scientists thanks to its focus on data and interactivity. For Python and R scripts, DataSpell allows you to run entire scripts or parts of them and browse outputs interactively and conveniently. DataSpell supports Jupyter’s command mode, most of its standard shortcuts, Markdown and LaTeX, and interactive outputs. The main advantage over Jupyter or JupyterLab is that with DataSpell, you get the intelligent coding assistance and lots of other features offered by a full-fledged IDE. It’s possible to work with them right inside the IDE exactly as you would use traditional web-based notebooks. That’s it! The full list of changes as always can be found in the release notes.Īs always, your feedback is critical – it helps us improve the IDE and make sure it meets your expectations.What major features does DataSpell offer? First and foremost, DataSpell supports both local and remote Jupyter notebooks. If you need an extended trial, please feel free to contact our support. Please keep in mind that if you’re a student, teacher, or open-source contributor, you qualify for a free DataSpell license. Over the next week, we plan to put the final polishing touches on the final release build and make it possible to purchase a license in our store. The trial license gives you the ability to use DataSpell for free for 30 days. You will either need to have an All Products Pack license or start a trial. If there are no big issues found with the build, it will become the 2021.3 final release a week from now.Įven though the release candidate is not a release, the build does require you to have a license to use it. The LaTeX formulas now use the same font as the editor, so if you change the font size the formulas will adjust accordingly. This build also adds pre-set typical Jupyter shortcuts Cmd+Shift+-/Ctrl+Shift+- and Shift+M for splitting and merging cells. The release candidate fixes the issues with the X, C, and V (Cut, Copy, and Paste cell actions) command mode shortcuts. Lastly, the Reload action for remote files has been optimized and can now correctly compare individual local and remote files and allows updating to the latest version. It’s also possible to rename notebooks, scripts, and other files located on your remote Jupyter server. HTTPS protocol is now supported for Remote connections, which means you can connect to Jupyter servers using the HTTPS protocol. If you prefer the horizontal layout, you can manually move the window to the bottom. This will make working with outputs much easier. In response to the feedback we’ve received, we’ve changed the default layout of the Python Console from horizontal to vertical. This is more convenient than running cells one by one. With this action, you can both run the currently selected cell and move your caret to the next cell. You can learn about what’s new in the update below.įirst, the Run action in the Jupyter notebook toolbar has been replaced with Run and Select Next, as is in the web-based version of Jupyter. Otherwise, you can use the following links to install the update manually: If you’re using the Toolbox App, it will prompt you to install the update automatically. DataSpell has been in EAP since March 2021, and today is a big day for us – we’re delivering our first release candidate!
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