The Debugger is supported in both Jupyter notebooks and Python scripts. For DataFrames, DataSpell offers rich interactive table controls.īuilt-in support for Conda makes it easy to create, manage, and reuse environments and dependencies. LaTeX support is not ready yet, but coming soon.ĭataSpell fully supports both static and JavaScript-based outputs used by scientific libraries, such as Plotly, Bokeh, Altair, ipywidgets, and others. Regardless of whether you work in Jupyter notebooks or Python scripts, you will always be able to rely on intelligent code completion, on-the-fly error checking and quick-fixes, and easy code navigation.ĭataSpell supports editing and rendering Markdown in both notebook cells and in separate files. Rely on smart coding assistance when editing SQL code, running queries, browsing data, and altering schemas. Work with the command line shell through the built-in Terminal that supports all of the same commands as your operating system.Īccess and query a database right from the IDE.
All popular Python scientific libraries are supported, including Plotly, Bokeh, Altair, ipywidgets, and others.Ĭlone Git projects, commit and push changes, work with several branches, manage changelists, and stage updates before committing them. Split Python scripts into code cells with the #%% separator and run them individually as you would in a Jupyter notebook.īrowse DataFrames and visualizations right in place via interactive controls. See the outputs and the state of variables in real-time. Run Python scripts or arbitrary expressions interactively in a Python Console. Work with local Jupyter notebooks or connect easily to remote Jupyter, JupyterHub, or JupyterLab servers right from the IDE. When editing code cells, enjoy smart code completion, on-the-fly error checking and quick-fixes, easy navigation, and much more. Enjoy fully interactive outputs - right under the cell. Use all of the standard Jupyter shortcuts. Switch between command and editor modes with a single keystroke.
JetBrains DataSpell is an IDE for data science with intelligent Jupyter notebooks, interactive Python scripts, and lots of other built-in tools.
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