What are interactive widgets in Jupyter Notebook?
Interactive widgets in Jupyter Notebook allow users to create dynamic user interfaces for their notebooks, enabling real-time interaction with data.
How can I create a simple slider widget?
You can create a slider using the ipywidgets
library. Here's a simple example:
import ipywidgets as widgets
from IPython.display import display
slider = widgets.IntSlider(value=50, min=0, max=100, step=1)
display(slider)
Can I link multiple widgets together?
Yes, you can link multiple widgets using the observe
method to create interactivity between them. For example, you can update one widget based on the value of another.
What are some common use cases for these widgets?
Common use cases include data visualization, parameter tuning for models, and creating interactive dashboards for data analysis.
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