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JetBrains Releases IDE “DataSpell” Especially For Data Scientists

The main advantage of DataSpell over Jupyter or JupyterLab is the availability of intelligent coding assistance and lots of other features offered by the full-fledged IDE. 

JetBrains recently announced the official release of DataSpell, its new data science IDE. DataSpell by JetBrains is designed specifically for those involved in exploratory data analysis and prototyping ML models. It combines the interactivity of Jupyter notebooks with the intelligent Python and R coding assistance of PyCharm in one ergonomic environment.

DataSpell supports both local and remote Jupyter notebooks. It is possible to work with them right inside the IDE exactly as using traditional web-based notebooks. The main advantage of DataSpell over Jupyter or JupyterLab is the availability of intelligent coding assistance and lots of other features offered by the full-fledged IDE. 

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DataSpell also supports Jupyter’s command mode, most of its standard shortcuts, Markdown and LaTeX, and interactive outputs. For Python and R scripts, it allows running entire scripts or parts of them and browsing outputs interactively and conveniently. Support for local Jupyter notebooks is now also bundled with PyCharm Professional in DataSpell and offers more out of the box features for data scientists, focusing on data and interactivity.

DataSpell provides a lightweight workspace model that allows to reuse configured environments, attach multiple folders with data, scripts, and notebooks, or connect it to multiple remote instances of Jupyter servers. 

In addition, database support, built-in debuggers, terminals, Git support, and a whole bunch of plugins are available for the IntelliJ platform, including Docker, Material Theme UI, and GitHub Copilot.

You can download DataSpell and check its features using the link here.

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Victor Dey
Victor is an aspiring Data Scientist & is a Master of Science in Data Science & Big Data Analytics. He is a Researcher, a Data Science Influencer and also an Ex-University Football Player. A keen learner of new developments in Data Science and Artificial Intelligence, he is committed to growing the Data Science community.

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