Hi and welcome to yet another exciting section of the course! It would be really 3 2
great if you have gone through the other sections of the course, but it is also 5 3
good if you have just decided to take this section only because you may be 7 4
interested on financial analysis with Python and interactive visualizations on 9 5
the web, so that's perfectly fine. And yeah to keep this short what you're going to 11 6
learn in this section is you're going to learn how to get stock market data via 13 7
Python, so without having to browse and download files from websites. You're 15 8
going to get these data in Pandas data frames, so in tables inside Python and 17 9
then they are ready to analyze. We're talking about the recent data, 19 10
almost real-time and that's one thing and then once we get these data we'll 21 11
analyze them using Python Pandas and we'll be working on a Jupiter notebook, 23 12
and then we'll use the Bokeh library to visualize these data and without you 25 13
should come up with this chart which you see in here. So it's a kind of picture 27 14
which is used for visualizing stock market data. Yeah, this can be a bit 29 15
complicated to build so you're going to learn a lot by creating this graph 31 16
from scratch and once we create that graph, then we're going to embed that 33 17
graph in in a website as you see in here. So this is the end program of this 35 18
section and this is pure Python, so we're not going to use any JavaScript for 37 19
this chart. So this is interactive, yeah. And you can even zoom in to certain 39 20
areas if you like. Yeah, this is great I believe, so I hope you really enjoy 41 21
this section and yeah, let's move on.