Hi, and welcome to this new and very
exciting section of course. And in this
section, so throughout the lecture, so
this section, you will be learning how
to generate visualizations, on the
browser with Python. So we're talking
about interactive visualizations. We
would be using the Bokeh Python
library to do that. So Bokeh is a
Python library and it's quite new. With
Bokeh, you can grab data from
various data sources, data file formats,
such as CSV, Python lists, JSON files,
and so on. And you can create beautiful
visualizations, on the browser. I used
to be a user of Matplotlib and Seaborne.
So two other Python libraries that
already used to perform visualizations
with Python, but I would say Bokeh is
more modern. And once I introduce it to
you, I'm sure you will be using it for
your data visualization projects. So in
this section, I'll be showing you how to
create line graphs, scatter plots, and
also how to combine various plots into
one chart, and time series graphs as
well. And we'll be writing the code in
the Jupyter Notebook, formerly known as
the IPython Notebook. And Jupyter
Notebook is like a combination of
Python console, so you write interactive
code, but you can also save the script
that you write. Jupyter Notebook will
look something like this.
[No audio]
Okay, and I'll show you how to install
the Jupyter Notebook in the next lecture.
So Jupyter is great for doing data analysis
visualizations, and web scrapping and
other exploratory analysis. So I'm sure you'll love it.
And yeah, let's move on to the next lecture.
[No audio]