![]() ![]() ![]() Work with local Jupyter notebooks or connect easily to remote Jupyter, JupyterHub, or JupyterLab servers right from the IDE. Run Python scripts or arbitrary expressions interactively in a Python Console. See the outputs and the state of variables in real-time. 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. 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. 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. Rely on smart coding assistance when editing SQL code, running queries, browsing data, and altering schemas. 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. 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. ![]() ![]() For DataFrames, DataSpell offers rich interactive table controls.īuilt-in support for Conda makes it easy to create, manage, and reuse environments and dependencies. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |