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Copy file name to clipboardExpand all lines: docs/dashboards/panel/deploy.ipynb
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"\n",
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"Panel (and Bokeh) provide a CLI command to deploy a Python script, app directory, or Jupyter notebook with a Bokeh or Panel app. To start a server using the CLI, simply do the following:\n",
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"\n",
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" $ pipenv run panel serve app.ipynb\n",
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" $ uv run panel serve app.ipynb\n",
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"\n",
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"To turn a notebook into a deployable app, simply attach to one or more panel objects `.servable()`, which adds the app to bokehs `curdoc`. This makes it easy to create dashboards interactively in a notebook and then seamlessly provide them to the Bokeh server."
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"To export the `png` file you also need Selenium and PhantomJS:\n",
Copy file name to clipboardExpand all lines: docs/dashboards/panel/overview.ipynb
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"source": [
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"This will start the Panel server and open a browser window with the application.\n",
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"Or you can just indicate what you want to see on the website. `servable()`, and then the shell command to start a server with this object `pipenv run panel serve --show example.ipynb`:"
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"Or you can just indicate what you want to see on the website. `servable()`, and then the shell command to start a server with this object `uv run panel serve --show example.ipynb`:"
Copy file name to clipboardExpand all lines: docs/dashboards/panel/pyodide/overview.html
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# Dies startet den Bokeh-Server und öffnet ein Browser-Fenster mit der Anwendung.
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#
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# Oder ihr könnt einfach angeben, was ihr auf der Webseite sehen möchtet. \`servable()\`, und dann den Shell-Befehl \`pipenv run panel serve --show example.ipynb\`, um einen Server mit diesem Objekt zu starten:
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# Oder ihr könnt einfach angeben, was ihr auf der Webseite sehen möchtet. \`servable()\`, und dann den Shell-Befehl \`uv run panel serve --show example.ipynb\`, um einen Server mit diesem Objekt zu starten:
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