Here we will welcome to this module.
So in this module we are going to combine Siebel that is the second visualization library of Python
and this one is we can see better than put up.
And in my opinion I suggest that go for this one whenever you are required to upload some data.
Just like we have no buy in pandas.
Pandas is better than no ice because we have more flexibility we can create data frames very easily
by just using few lines of code.
Here we have disabled in the south so you can just use few lines of code to create any kind of plot
that are more beautiful and much more easy to understand than met properly.
Also here in D.C. bond would be why did you do Archie.
You can have some functionalities of Siebel that are listed here or just posted do and have a look at
them.
And here we have the syntax for importing Siebel and the Commonwealth we use is as an S.
Also you can use anybody you want to and then if you go for the gallery you will find various plots
here and these all plots require just one or two lines of code.
As you can see here most of you already seen these in Metropolis also but creating these with Seabourn
is much easier than the Mac.
We can see and to install that one on your computer just go to terminal windows and all command prompt
so determined alone Mac and come on broken windows and they are just right Pip and install Siebel everything
is in small case letters hit return or entering windows.
David go.
And if you're using condom distribution then kinda install and then Siebel and David go with deadpan.
So this is about the introduction and I hope you will enjoy disabling because this one is going to be
very interesting.
And thanks for watching.
We'll continue from the very next video.