And welcome back to another class of our course about the complete introduction to the science with
Python.
So basically in this class we are talking about another really interesting python tool that we are going
to work with to be able to understand a little bit more how we work with data science.
So this, too, is another visualization tool that is built on matplotlib.
So basically where when we are going to work with this tool, have to import matplotlib to be able to
put it perfectly.
So basically the name of this tool is Seabourne.
So Seabourne is basically a better version of matplotlib, if we can say it this way, simply because
it's built on it.
So let's look what it looks like.
So basically, Seabourne is, as I said, a data visualization tool and that it's based on matplotlib.
So basically what it does, it's pretty much the same thing.
It will visualize data, but in a better way.
So basically, it's used to create more attractive and informative statistical graphs.
So your graphs will be a little bit different.
So you can you have more types of graphs with Seabourne than that, with Muttalib and allows many other
great things.
So while Seabourne is a different package, it can still it can still be used to develop attractiveness
of matplotlib graph.
So as I said, it will give it will create more attractive Gretz graphs.
So why Seabourne is used?
Basically, it's used to create statistical graphs.
So this means the same thing as matplotlib.
Basically you will create graphs with the database that you guys will use.
It could be small databases, it could be huge databases.
And this is exactly what we'll do.
Import data bases, different databases from the Internet and we will work with those databases.
I'm you think it's used to create more attractive graphs.
So basically you have plenty of types of graphs that you guys can use.
So, for example, right here you have a violin, that blood, which is one type of graph that you guys
can have with the seabourne, which is pretty cool.
And finally, it can be used to make the graphs more attractive, which is pretty much the same thing
as the best point, basically.
What does this all mean?
It means that it takes all the Muttalib features and it makes them a little bit better and not better,
but more attractive.
So basically, you have more options of graphs.
You have pretty much a lot of really interesting things.
Not only this, but if we talk about some other functionalities of Seabourne, it will allow comparison
between multiple variables.
It can support multiple out grids.
It's available.
Well, it has plenty of colors that are available.
So basically you can you can use it as you want.
You can add colors.
You can add pretty much a lot of things and can estimate and create graphs of linear regression automatically.
So basically, it's pretty cool.
Some other things that the Seabourne can offer were basically the seabourne functions can offer is a
visually understanding, different distributions of data set.
This is what you can do with this too.
You can visually understand mathematical and statistical relationship.
So basically, if you have relationships inside of your database between a certain variables between
variable X, Y and Z, for example, with Seabourne you can visually represented with a graph.
So basically you can be represented inside of a graph.
So you guys understand it better and it can generate graphs and blood.
Well, it can do graphs and generation and plotting with categorical data, which is pretty cool as
well.
All right.
So Seabourne versus matplotlib.
So what is the difference between Seabourne and matplotlib?
So basically, as I said, Muttalib is used for basic plotting.
Usually the visualization that uses matplotlib are generally consisted of bars, scatter plots, histograms
and some other.
So basically there are plenty of really basic plots that are used inside of Matlab, but inside of Seabourne,
it's more advanced plots.
Basically, as you can see here, those are some plots of Seabourne.
So, for example, you have the violent plot, you have the, um, plots.
Basically, you have plenty of plots inside of Seabourne as well as ultimately.
But plots basically you will work with Muttalib.
And Seabourne is like a better version of metal, if we can see it this way.
So basically, Seabourne is just a higher level API version of matplotlib with some different parameters.
Also, Seabourne comes with numerous customised teams and high level interface.
Also, Seabourne functions work well for.
Data from so, which is not the best at it.
So it's Seabourne better than not really.
Well, Seabourne is built on matplotlib and Seabourne is we can say, if we can see it, a part of Muttalib.
So is it better?
Not really.
It's just part of it.
So basically, it's like a higher version of matplotlib, so you can work with both of them.
So both tools are really awesome.
But Seabourne is like a higher version, if we can see it this way.
But it has all the tools and it it's basically import Muttalib as well as Seabourne.
So you'll see when we are going to work with Seabourne in the next two classes, we're going to import
Matlab, we're going to import no by Skype and us basically to be able to work with everything together.
So like always, we are going to work with by chance at the next few classes and we are going to learn
how to create plenty of klutzes by importing data directly from the Web.
So I hope you guys are ready.
So that's it, first class guys and all our next class.