Develop in other notebook environments#
This guide addresses how to develop apps in Google Colab, VSCode, nteract, and other environments.
Google Colab#
In the Google Colaboratory notebook, first make sure to load the pn.extension(). Panel objects will then render themselves if they are the last item in a notebook cell. Please note that in Colab rendering for each notebook cell is isolated, which means that every cell must reload the Panel extension code separately. This will result in somewhat slower and larger notebook than with other notebook technologies.
VSCode notebook#
Visual Studio Code (VSCode) versions 2020.4.74986 and later support ipywidgets, and Panel objects can be used as ipywidgets since Panel 0.10 thanks to jupyter_bokeh, which means that you can now use Panel components interactively in VSCode. Ensure you install jupyter_bokeh with pip install jupyter_bokeh or conda install -c bokeh jupyter_bokeh and then enable the extension with pn.extension().
See also the How-To Configure VS Code Guide.
nteract and other ipywidgets notebooks#
In other notebook environments that support rendering ipywidgets interactively, such as nteract, you can use the same underlying ipywidgets support as for vscode: Install jupyter_bokeh and then use pn.extension(comms='ipywidgets').
Other environments#
If your development environment offers embedded Python processes but does not support ipywidgets or Jupyter “comms” (communication channels), you will notice that some or all interactive functionality is missing. Some widgets that operate only in JavaScript will work fine, but others require communication channels between JavaScript and Python. In such cases you can either request ipywidgets or Panel support from the editor or environment, or else use the Editor + Server approach above.
