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Hi and welcome to yet another exciting
section of the course! It would be really

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great if you have gone through the other
sections of the course, but it is also

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good if you have just decided to take
this section only because you may be

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interested on financial analysis with
Python and interactive visualizations on

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the web, so that's perfectly fine. And yeah
to keep this short what you're going to

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learn in this section is you're going to
learn how to get stock market data via

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Python, so without having to browse and
download files from websites. You're

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going to get these data in Pandas data
frames, so in tables inside Python and

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then they are ready to analyze.
We're talking about the recent data,

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almost real-time and that's one thing and
then once we get these data we'll

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analyze them using Python Pandas and
we'll be working on a Jupiter notebook,

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and then we'll use the Bokeh library to
visualize these data and without you

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should come up with this chart which you
see in here. So it's a kind of picture

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which is used for visualizing stock
market data. Yeah, this can be a bit

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complicated to build so you're going to
learn a lot by creating this graph

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from scratch and once we create that
graph, then we're going to embed that

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graph in in a website as you see in here.
So this is the end program of this

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section and this is pure Python, so we're
not going to use any JavaScript for

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this chart. So this is interactive, yeah.
And you can even zoom in to certain

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areas if you like. Yeah, this is great
I believe, so I hope you really enjoy

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this section and yeah, let's move on.