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DataSpell provides a lightweight workspace model that allows you to reuse configured environments, attach multiple folders with data, scripts, and notebooks, or connect it to multiple remote instances of Jupyter servers. 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.
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DataSpell supports Jupyter’s command mode, most of its standard shortcuts, Markdown and LaTeX, and interactive outputs.
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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. What major features does DataSpell offer? First and foremost, DataSpell supports both local and remote Jupyter notebooks.