How can I use advanced features of Plotly Dash in Jupyter Notebook?
You can integrate advanced features of Plotly Dash in Jupyter Notebook by using the JupyterDash
library. This allows you to run Dash apps directly in your notebook.
What are some advanced features I can implement?
Some advanced features include callbacks for interactivity, multi-page layouts, and integrating external data sources for dynamic visualizations.
Can you show me an example of a callback?
Sure! Here's a simple example: you can create a dropdown that updates a graph based on the selected value using the @app.callback
decorator.
How do I deploy my Dash app after developing it in Jupyter?
You can deploy your Dash app using platforms like Heroku or Dash Deployment Server. You'll need to package your app and follow the deployment instructions for the platform you choose.
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