Tables and plots are the most common outputs when doing data analysis, but Jupyter notebooks can render many more types of outputs such as sound, animation, video, etc. Yes, almost anything that can be shown in a modern web browser. This also makes it possible to include interactive widgets directly in the notebook! For example, this (slightly c…

gistfile1.ipynb

# Making a map using the folium module
import folium
phone_map = folium.Map()

# Top three smart phone companies by market share in 2016
companies = [
    {'loc': [37.4970,  127.0266], 'label': 'Samsung: 20.5%'},
    {'loc': [37.3318, -122.0311], 'label': 'Apple: 14.4%'},
    {'loc': [22.5431,  114.0579], 'label': 'Huawei: 8.9%'}] 

# Adding markers to the map
for company in companies:
    marker = folium.Marker(location=company['loc'], popup=company['label'])
    marker.add_to(phone_map)

# The last object in the cell always gets shown in the notebook
phone_map