How to implement interactive widgets in Jupyter Notebook?

Step 1: Install the Required Libraries
Before you can use interactive widgets in Jupyter Notebook, you need to install the required libraries. You can do this by running the following commands in your Jupyter Notebook:

!pip install ipywidgets

Step 2: Import the Required Libraries
After installing the required libraries, you need to import them into your Jupyter Notebook. You can do this by running the following command:

from ipywidgets import interact, interactive, fixed, interact_manual
import ipywidgets as widgets

Step 3: Create a Function
Next, you need to create a function that you want to interact with. This function will be called whenever you interact with the widget. For example, you can create a simple function that multiplies a number by 2:

def f(x):
    return x * 2

Step 4: Create a Widget
Now you can create a widget that will interact with the function you created. You can do this by using the interact function and passing in the function you created and the range of values you want the widget to have. For example:

interact(f, x=10);

This will create a slider that you can move from 0 to 10. As you move the slider, the function f will be called with the current value of the slider, and the result will be displayed.

Step 5: Experiment with Different Widgets
The interact function can create a variety of different widgets, depending on the type of the second argument. For example, if you pass a boolean value, it will create a checkbox. If you pass a string, it will create a text box. Try experimenting with different types of widgets to see what you can create.

Step 6: Use the interactive Function
The interactive function is similar to the interact function, but it returns a widget object that you can then display or use in other ways. This can be useful if you want to create more complex interactions.

w = interactive(f, x=10)
display(w)

Step 7: Save and Share Your Notebook
Once you're happy with your interactive widgets, you can save your Jupyter Notebook and share it with others. They'll be able to interact with your widgets just like you can.