Python - 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.Rely on smart coding assistance when editing SQL code, running queries, browsing data, and altering schemas. Database tools - Access and query a database right from the IDE. Terminal - Work with the command line shell through the built-in Terminal that supports all of the same commands as your operating system.Version control - Clone Git projects, commit and push changes, work with several branches, manage changelists, and stage updates before committing them.All popular Python scientific libraries are supported, including Plotly, Bokeh, Altair, ipywidgets, and others. Data and visualization outputs - Browse DataFrames and visualizations right in place via interactive controls.Cells in Python scripts - Split Python scripts into code cells with the #%% separator and run them individually as you would in a Jupyter notebook.See the outputs and the state of variables in real-time.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |