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Here we will welcome to this module.

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So in this module we are going to combine Siebel that is the second visualization library of Python

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and this one is we can see better than put up.

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And in my opinion I suggest that go for this one whenever you are required to upload some data.

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Just like we have no buy in pandas.

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Pandas is better than no ice because we have more flexibility we can create data frames very easily

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by just using few lines of code.

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Here we have disabled in the south so you can just use few lines of code to create any kind of plot

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that are more beautiful and much more easy to understand than met properly.

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Also here in D.C. bond would be why did you do Archie.

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You can have some functionalities of Siebel that are listed here or just posted do and have a look at

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them.

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And here we have the syntax for importing Siebel and the Commonwealth we use is as an S.

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Also you can use anybody you want to and then if you go for the gallery you will find various plots

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here and these all plots require just one or two lines of code.

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As you can see here most of you already seen these in Metropolis also but creating these with Seabourn

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is much easier than the Mac.

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We can see and to install that one on your computer just go to terminal windows and all command prompt

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so determined alone Mac and come on broken windows and they are just right Pip and install Siebel everything

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is in small case letters hit return or entering windows.

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David go.

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And if you're using condom distribution then kinda install and then Siebel and David go with deadpan.

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So this is about the introduction and I hope you will enjoy disabling because this one is going to be

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very interesting.

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And thanks for watching.

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We'll continue from the very next video.