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Hello, guys, and welcome back to the class of our course of all the complete introduction to data

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science with Python, something now we talked about some tools that we can use with Python to be able

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to perform data analysis.

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So we talked about numbers that are specialized in mathematics and to do some really complex operations.

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And we talked as well about pendas that is specialized in data analysis.

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We are going to talk about Skype that works pretty much with numpties.

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So basically it works with it integrates no operations and it will help.

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Well, it will allow us to make some complex operations to be able to perform data analysis as well.

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So basically, let's start and try to understand what exactly is right.

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So this guy is like any other tool that we talked about in this class and we'll talk about in this class,

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if it's a Python library, what is cool about it is that it's open source once again, as the other

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libraries that we are talking about, it's open source.

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So it costs nothing and it's built up by the community, which is pretty cool.

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So it works with a little more mathematical functions.

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As I said a little bit before, basically, it used a lot of operations and it works really with no

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right to allow some more operations.

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And it comes with many modules for commonly used tasks in scientific programming.

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So basically, we're going to talk about some of those modules and we are going to talk about some example

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of modules that can be used in Skype because there is a lot of them.

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And what this is what make makes Skype really a powerful tool if you guys want to use it for data analysis.

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All right.

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So Skype, which versus.

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So what is the difference between Skype and No.

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So what is really important to understand is that that number is really for basic operations, such

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as sorting, indexing and some other elementary functions.

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So if we are to really understand the difference between those two, we can say that number is basically

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four basic operations, like I said.

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And Skype contains all the algebraic functions, some of which are there in numbers to some extent and

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not in flagrant forms.

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So basically, this would be the main difference between No.8 and Skype.

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What are the advantages of using Skype?

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So as I said a little bit before that one of the first advantages of using Skype is that it's open source.

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So basically the fact that it's free, it's way better to use it.

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And also, for example, to compare it to math, matlab or any other programs such as ACTTAB, for example,

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Skype.

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Well, it's open source.

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So basically, just with this, it starts systematically with an advantage.

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And also it's as powerful as those tools.

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There is a high level of commands to manipulate and visualize data, which is also really cool.

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So basically there is a lot of commands that you guys can use and it's you will be able to visualize

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your data.

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It's powerful and, well, powerful and interactive sessions with Python.

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What does it mean?

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It means simply that it works perfectly with Python.

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So basically, what the python programming language, it works really smoothly and it's not complicated

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at all to use.

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Well, you need to understand programming, but once you understand the concepts and the logic behind

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it, you see it's like any other tool that we talked about before.

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It's not really complicated to understand.

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And finally, it's easy and fast.

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So basically easy.

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Maybe not.

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If you're a beginner, you need to understand.

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I said the logic behind programming, all everything that is that could well be that you need to understand

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all the programming mindset.

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And once you get it, well, you'll see it's not that hard to understand.

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All right.

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So right now, let's talk about some of the sub packages of Skype, because there is a lot of them.

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So basically the first one will be the Closter or here a SQL cluster clustering.

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We have the constant, which is the physical concept and factor are of conversion.

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We have the F F the triple F back, which is the algorithm for discrete.

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We transform, we have integrate, which is the routine for the miracle integration, the interpolate.

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So the tools for interpellation are you which is the input and output tools for data.

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Lynn.

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Now LG, which is the routine for linear algebra and many others.

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So I'm not going to cite them all because well it's going to be really long because there's a lot of

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them.

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But those are pretty interesting and that works well, are really useful in the case that you guys want

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to make some data analysis.

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So basically the modules are well, there are plenty of modules that could be for example, we have

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linear algebra integration, ordinary differential equations solving and many more.

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So basically there is a lot of modules that are integrated with Skype.

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So basically it allows us to make really advanced mathematics, which can be a really good thing when

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we know the data analysis and data science is really something that requires a lot of mathematics.

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So if you guys have a little introduction to Skype once again in the future, in the next few classes,

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we're going to talk about a little bit more in depth about the Skype.

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And we are going to use this to to resolve some well, some some real problems.

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And we are going to learn some operations that are really popular with this.

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So that's a first class guys.

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And open our next class.