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Jupyter Notebooks have an awesome feature where they can render charts and graphs from packages like Bokeh and Matplotlib.

Here's the code snippet from the video:

```
from ipywidgets import interact
import numpy as np
from bokeh.io import push_notebook, show, output_notebook
from bokeh.plotting import figure
output_notebook()
x = np.linspace(0, 2*np.pi, 2000)
y = np.sin(x)
p = figure(title='simple line example', plot_height=300, plot_width=600, y_range=(-5,5))
r = p.line(x, y, color='#2222aa', line_width=3)
def update(f, w=1, A=1, phi=0):
if f == "sin": func = np.sin
elif f == "cos": func = np.cos
elif f == "tan": func = np.tan
r.data_source.data['y'] = A * func(w * x + phi)
push_notebook()
show(p, notebook_handle=True)
interact(update, f=["sin", "cos", "tan"], w=(0,100), A=(1,5), phi=(0, 20, 0.1))
```

You'll also need to run `jupyter nbextension enable --py --sys-prefix widgetsnbextension`

in your terminal.

#### Sharing your notebooks

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