To use a module in a Python notebook, you first need to make sure the module is installed in your environment. You can use the `!pip install`

command to install modules from the command line in your notebook. Once the module is installed, you can import it into your notebook using the `import`

statement. Here’s an example of how to use the `numpy`

module in a Python notebook:

```
!pip install numpy # Install the numpy module
import numpy as np # Import the numpy module and alias it as np
# Now you can use numpy functions and classes in your notebook
array = np.array([1, 2, 3])
mean = np.mean(array)
print(mean)
```

In this example, we first install the `numpy`

module using the `!pip install`

command. Then, we import the module using the `import`

statement and alias it as `np`

. This is a common convention for the `numpy`

module.

Finally, we use a `numpy`

function (`np.array`

) and a `numpy`

class method (`np.mean`

) to create an array and calculate its mean. We then print the mean to the console.

You can replace `numpy`

with the name of any other module you want to use in your notebook, and follow the same pattern of installing and importing it.

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