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Hi, and welcome to this new and very

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exciting section of course. And in this

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section, so throughout the lecture, so

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this section, you will be learning how

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to generate visualizations, on the

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browser with Python. So we're talking

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about interactive visualizations. We

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would be using the Bokeh Python

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library to do that. So Bokeh is a

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Python library and it's quite new. With

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Bokeh, you can grab data from

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various data sources, data file formats,

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such as CSV, Python lists, JSON files,

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and so on. And you can create beautiful

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visualizations, on the browser. I used

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to be a user of Matplotlib and Seaborne.

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So two other Python libraries that

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already used to perform visualizations

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with Python, but I would say Bokeh is

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more modern. And once I introduce it to

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you, I'm sure you will be using it for

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your data visualization projects. So in

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this section, I'll be showing you how to

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create line graphs, scatter plots, and

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also how to combine various plots into

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one chart, and time series graphs as

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well. And we'll be writing the code in

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the Jupyter Notebook, formerly known as

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the IPython Notebook. And Jupyter

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Notebook is like a combination of

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Python console, so you write interactive

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code, but you can also save the script

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that you write. Jupyter Notebook will

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look something like this.

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[No audio]

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Okay, and I'll show you how to install

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the Jupyter Notebook in the next lecture.

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So Jupyter is great for doing data analysis

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visualizations, and web scrapping and

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other exploratory analysis. So I'm sure you'll love it.

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And yeah, let's move on to the next lecture.

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[No audio]