Bokeh Widgets and Visualization

What is Bokeh?

• An interactive visualization library focused on modern browsers and the web.

• A static visualization tool.

• A library for creating 2D plots only.

• A JavaScript framework.

What are the two levels of the layered approach in Bokeh interfaces?

• Plotting and Models interface

• Basic and Advanced interfaces

• Static and Dynamic interfaces

• Client-side and Server-side interfaces

What is the purpose of Bokeh widgets?

• To create static visualizations.

• To interactively change the data displayed in a visualization.

• To enhance the performance of visualizations.

• To create 3D visualizations.

What is the general way to create a new widget visible in a Jupyter Notebook?

• Define a new method and wrap it into an interact widget.

• Use a predefined widget from the library.

• Create a static HTML page.

• Write a JavaScript function.

What does the output_notebook method from Bokeh's io interface do?

• Displays plots inside Jupyter Notebook.

• Exports plots to a file.

• Creates a new notebook.

• Saves the current session.

What is the first task in adding interactive widgets to IPython?

• Import the necessary interact and interact_manual elements.

• Create a new Jupyter Notebook.

• Define a new method.

• Run the Bokeh server.

What is the result of the checkbox widget when Value is set to False?

• False

• True