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Hello, guys, and welcome back to another class of our course on data analysis with Python.

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So basically, until now, we just talked that we had an introduction to data analysis.

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And now we are going to talk about the first tool that we are going to use in practically.

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And this is the Jupiter notebooks and this class.

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We are going to talk about all the theoretical side of this app or, well, of this tool that we are

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going to use.

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And in the next class, we are going to practice by writing down some lines of code in Python, of course.

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So let's start basically, it's pretty simple.

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The first thing that you guys would need to do is open up your anakonda navigator and then go into your

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chapter notebook.

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So just click on lunch and whether it's going to do it's going to open up a folder directly on your

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Internet browser.

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So very simple.

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The first thing to understand, guys, is how everything works.

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So basically you have three tabs right here.

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You have your files you're running and your clusters, basically your files are all the files that are

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important from your computer.

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So right here I have all my files that are important.

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Running is all the files, all the files that are that are right now running.

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So in this case, if you have any terminal, any python terminal that is running for any notebook that

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is running, you're going to see it inside of your running and those are your cluster.

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So basically, let's come back to our file folder, which will be our most important one.

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So basically, if you want to select files, well, it's pretty simple.

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You can just click here to select them, to see the type of files that you guys can have.

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In this case, you can have folders which would be which everybody should have.

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So all the folders that you have on your computer.

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So if you want to select all the folders, simply click on the folders and you will be able to select

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them.

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The same one will be the notebooks that you can maybe have.

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So, for example, you created some notebooks for past Python projects or any data analysis projects.

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You should have them here.

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As you can see, I don't have them.

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But if you do, well, it's possible.

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Next thing would be you're running, so all you're running notebook's or running Python apps should

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be here once again.

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I don't have some, so you can't really see them.

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I have zero.

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And finally, all the files that are open.

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So in this case, I only have one advanced IP scanner.

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So in this case, this is the only file that I have running.

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So if you guys have some other files, well, you will be able to select them this week.

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After that, when you select the file, you can do a lot of things with with it.

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You can rename it, you can move the file, you can download it.

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If you want to download it, you can view it.

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You can edit it as well because it's on your computer directory.

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So it's pretty cool.

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Those are really the basics of it.

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After that here you can place your files by name.

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So once again, it's pretty simple by date or by file size.

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If you guys want to upload some new files, it's pretty simple.

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It's going to be here.

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So you simply click on upload and you will be able to upload any new file that you want.

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If you want to create a new folder, you can create a new folder.

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You will be able to create a simple folder, or it could be something pretty cool, like, for example,

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in Python, three folders.

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So right here it will be inside of a notebook.

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So you simply click on it and you will be able to create it.

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You can create a text folder.

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So in this case is going to be automatically saved.

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You can create a folder in normal.

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So once again, a normal folder like this one right here, you can create it and it's going to be automatically

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named unnamed folder or until until until to the folder.

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I personally don't remember.

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And finally, you can generate a terminal.

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So once again, if you want to work on a terminal, you can do it.

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Lasting thing right here.

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If you want to refresh everything, you can do it simply by clicking this button right there.

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And that basically until now, you guys try to understand why we use troop there.

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Well, basically, the workflow inside of a data analysis project is pretty simple.

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The first step will be to create a notebook for your projects.

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In this case, we are well, not right now, because we just talked about the tricky part.

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But basically the first thing that you guys will do is simply creating a notebook for your project.

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So in this case, we'll write down your code and everything.

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After that, you add analysis, step coding and outputs to your notebook.

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So absolutely everything would be here.

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And finally, you will add your business and all other analytics to your notebook, which will complete

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your project as a whole for the security of Jupiter, since it becomes a more and more popular on the

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Internet or.

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Well, it's popular to the security that this tool uses.

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Well, they have some security models that are in place.

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The first one would be interested.

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Hotmail will always be sanitized.

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This means they will clean all untrusted HTML.

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So if you have any external code that is not clean, it will be sanitized.

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JavaScript that are not trusted will not be executed.

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So once again, if you have some external JavaScript, it will not trust it and will execute it all.

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HTML and JavaScript that are in markdown sales will not be trusted.

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So very important to know that that HTML scripts and the JavaScript that are in markdown sales are not

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trusted.

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The output that are generated by the user are trusted.

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So everything that you guys will create and generate at the end, let's say at the end of the project

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or the end of a certain part of the project will be trusted because once again, this is you who created

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the project and any other e-mail or JavaScript, it could be in markdown sales output generated by others

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or anything related that it's not you create it personally will never be trusted.

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So let's say, for example, you import a project that someone else created for your project.

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Well, it's not going to be trusted because it's not it's not like you create it.

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So this is for the security model around around Jupiter.

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So right now, you guys have some basic and really, really low and basic knowledge of Jupiter.

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So you know how everything here works.

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So basically to import documents and how to store documents and everything.

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And the next step will really be to work with Jupiter.

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And this is what we are going to talk about in our next class.

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That's first class guys and see our next class.