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And welcome back to another class of our course about the complete introduction to the science with

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Python.

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So basically in this class we are talking about another really interesting python tool that we are going

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to work with to be able to understand a little bit more how we work with data science.

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So this, too, is another visualization tool that is built on matplotlib.

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So basically where when we are going to work with this tool, have to import matplotlib to be able to

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put it perfectly.

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So basically the name of this tool is Seabourne.

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So Seabourne is basically a better version of matplotlib, if we can say it this way, simply because

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it's built on it.

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So let's look what it looks like.

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So basically, Seabourne is, as I said, a data visualization tool and that it's based on matplotlib.

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So basically what it does, it's pretty much the same thing.

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It will visualize data, but in a better way.

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So basically, it's used to create more attractive and informative statistical graphs.

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So your graphs will be a little bit different.

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So you can you have more types of graphs with Seabourne than that, with Muttalib and allows many other

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great things.

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So while Seabourne is a different package, it can still it can still be used to develop attractiveness

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of matplotlib graph.

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So as I said, it will give it will create more attractive Gretz graphs.

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So why Seabourne is used?

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Basically, it's used to create statistical graphs.

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So this means the same thing as matplotlib.

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Basically you will create graphs with the database that you guys will use.

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It could be small databases, it could be huge databases.

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And this is exactly what we'll do.

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Import data bases, different databases from the Internet and we will work with those databases.

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I'm you think it's used to create more attractive graphs.

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So basically you have plenty of types of graphs that you guys can use.

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So, for example, right here you have a violin, that blood, which is one type of graph that you guys

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can have with the seabourne, which is pretty cool.

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And finally, it can be used to make the graphs more attractive, which is pretty much the same thing

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as the best point, basically.

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What does this all mean?

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It means that it takes all the Muttalib features and it makes them a little bit better and not better,

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but more attractive.

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So basically, you have more options of graphs.

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You have pretty much a lot of really interesting things.

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Not only this, but if we talk about some other functionalities of Seabourne, it will allow comparison

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between multiple variables.

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It can support multiple out grids.

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It's available.

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Well, it has plenty of colors that are available.

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So basically you can you can use it as you want.

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You can add colors.

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You can add pretty much a lot of things and can estimate and create graphs of linear regression automatically.

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So basically, it's pretty cool.

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Some other things that the Seabourne can offer were basically the seabourne functions can offer is a

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visually understanding, different distributions of data set.

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This is what you can do with this too.

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You can visually understand mathematical and statistical relationship.

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So basically, if you have relationships inside of your database between a certain variables between

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variable X, Y and Z, for example, with Seabourne you can visually represented with a graph.

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So basically you can be represented inside of a graph.

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So you guys understand it better and it can generate graphs and blood.

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Well, it can do graphs and generation and plotting with categorical data, which is pretty cool as

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well.

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All right.

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So Seabourne versus matplotlib.

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So what is the difference between Seabourne and matplotlib?

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So basically, as I said, Muttalib is used for basic plotting.

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Usually the visualization that uses matplotlib are generally consisted of bars, scatter plots, histograms

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and some other.

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So basically there are plenty of really basic plots that are used inside of Matlab, but inside of Seabourne,

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it's more advanced plots.

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Basically, as you can see here, those are some plots of Seabourne.

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So, for example, you have the violent plot, you have the, um, plots.

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Basically, you have plenty of plots inside of Seabourne as well as ultimately.

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But plots basically you will work with Muttalib.

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And Seabourne is like a better version of metal, if we can see it this way.

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So basically, Seabourne is just a higher level API version of matplotlib with some different parameters.

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Also, Seabourne comes with numerous customised teams and high level interface.

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Also, Seabourne functions work well for.

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Data from so, which is not the best at it.

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So it's Seabourne better than not really.

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Well, Seabourne is built on matplotlib and Seabourne is we can say, if we can see it, a part of Muttalib.

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So is it better?

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Not really.

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It's just part of it.

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So basically, it's like a higher version of matplotlib, so you can work with both of them.

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So both tools are really awesome.

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But Seabourne is like a higher version, if we can see it this way.

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But it has all the tools and it it's basically import Muttalib as well as Seabourne.

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So you'll see when we are going to work with Seabourne in the next two classes, we're going to import

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Matlab, we're going to import no by Skype and us basically to be able to work with everything together.

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So like always, we are going to work with by chance at the next few classes and we are going to learn

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how to create plenty of klutzes by importing data directly from the Web.

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So I hope you guys are ready.

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So that's it, first class guys and all our next class.