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Hi and welcome to this new and very
exciting section of the course! And in this

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section, so throughout the lectures of
this section you will be learning how to

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generate visualizations on the browser
with Python so we're talking about

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interactive visualizations, and we'll be
using the Bokeh Python library to do that.

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So Bokeh is a Python library and
it's quite new and with Bokeh you can

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grab data from various data sources, data
file formats such as CSV, Python list,

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JSON files and so on, and you can create
beautiful visualizations on the browser.

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I used to be a user of Matplotlib and
Seaborn, so two other Python libraries

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that are used to perform of
visualizations with Python, but I would

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say Bokeh is more modern and once I
introduce it to you I'm sure you'll be

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using it for your data visualization
projects. So in this section I'll be

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showing you how to create line graphs
and scatter plots and also how to

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combine various plots into one chart and
time series graphs as well and we'll be

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writing the code in the Jupiter notebook
formerly known as iPython notebook.

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The Jupiter notebook is like a combination
of a Python console, so you write

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interactive code, but you can also save
the script that you write, and the

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Jupiter notebook who looks something
like this. Okay and I'll show you how to

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install the Jupiter notebook in the next
lecture, and so Jupiter is great for

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doing data analysis and visualizations
and web scrapping and other exploratory

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analysis so I'm sure you'll love it.
And yeah, let's move on to the next lecture.