If you are new to WSL, read this step-by-step tutorial to learn how to use Jupyter notebooks with WSL 2.Īnd stay tuned – support for Conda environments in WSL is on the way! UX Working in Jupyter notebooks and getting sufficient code insight.Ĭreating WSL-based files Configuring and managing Python virtual environments inside the WSL Working in the Python Console Working in the terminal Debugging a Python file inside the WSL.Working in the Python console and built-in terminal.Configuring and managing Python virtual environments inside the WSL.With DataSpell 2022.2, you can create and work with projects inside your WSL directories without leaving the IDE. This new Merge view is a nice addition to the visual Diff view for Jupyter Notebook, which we introduced in DataSpell 2021.3. With DataSpell 2022.2, you are able to see the changes to be merged, including ones made to plots, in a human-readable way. 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. Let’s look at the new features in detail. Code insight for your Python and Jupyter files is provided too. Support for WSL allows you to create WSL-based projects as well as interpreters and to work in the Python console and the terminal directly in DataSpell. There are also new actions on the editor toolbar for copy-pasting cells in order to manage them faster. Cell operations usability enhancements provide a new resizing option for image outputs that is helpful when inspecting plots and graphs. Merging diverged notebooks is now straightforward with the visual merge tool, as DataSpell 2022.2 allows you to review them as two notebooks open side by side, highlighting the changes in the cells. DataSpell 2022.2 is here and ready to give your data science work an efficiency boost.
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