Hello, guys, and welcome back to another class of our course on data analysis with Python.
So basically, until now, we just talked that we had an introduction to data analysis.
And now we are going to talk about the first tool that we are going to use in practically.
And this is the Jupiter notebooks and this class.
We are going to talk about all the theoretical side of this app or, well, of this tool that we are
going to use.
And in the next class, we are going to practice by writing down some lines of code in Python, of course.
So let's start basically, it's pretty simple.
The first thing that you guys would need to do is open up your anakonda navigator and then go into your
chapter notebook.
So just click on lunch and whether it's going to do it's going to open up a folder directly on your
Internet browser.
So very simple.
The first thing to understand, guys, is how everything works.
So basically you have three tabs right here.
You have your files you're running and your clusters, basically your files are all the files that are
important from your computer.
So right here I have all my files that are important.
Running is all the files, all the files that are that are right now running.
So in this case, if you have any terminal, any python terminal that is running for any notebook that
is running, you're going to see it inside of your running and those are your cluster.
So basically, let's come back to our file folder, which will be our most important one.
So basically, if you want to select files, well, it's pretty simple.
You can just click here to select them, to see the type of files that you guys can have.
In this case, you can have folders which would be which everybody should have.
So all the folders that you have on your computer.
So if you want to select all the folders, simply click on the folders and you will be able to select
them.
The same one will be the notebooks that you can maybe have.
So, for example, you created some notebooks for past Python projects or any data analysis projects.
You should have them here.
As you can see, I don't have them.
But if you do, well, it's possible.
Next thing would be you're running, so all you're running notebook's or running Python apps should
be here once again.
I don't have some, so you can't really see them.
I have zero.
And finally, all the files that are open.
So in this case, I only have one advanced IP scanner.
So in this case, this is the only file that I have running.
So if you guys have some other files, well, you will be able to select them this week.
After that, when you select the file, you can do a lot of things with with it.
You can rename it, you can move the file, you can download it.
If you want to download it, you can view it.
You can edit it as well because it's on your computer directory.
So it's pretty cool.
Those are really the basics of it.
After that here you can place your files by name.
So once again, it's pretty simple by date or by file size.
If you guys want to upload some new files, it's pretty simple.
It's going to be here.
So you simply click on upload and you will be able to upload any new file that you want.
If you want to create a new folder, you can create a new folder.
You will be able to create a simple folder, or it could be something pretty cool, like, for example,
in Python, three folders.
So right here it will be inside of a notebook.
So you simply click on it and you will be able to create it.
You can create a text folder.
So in this case is going to be automatically saved.
You can create a folder in normal.
So once again, a normal folder like this one right here, you can create it and it's going to be automatically
named unnamed folder or until until until to the folder.
I personally don't remember.
And finally, you can generate a terminal.
So once again, if you want to work on a terminal, you can do it.
Lasting thing right here.
If you want to refresh everything, you can do it simply by clicking this button right there.
And that basically until now, you guys try to understand why we use troop there.
Well, basically, the workflow inside of a data analysis project is pretty simple.
The first step will be to create a notebook for your projects.
In this case, we are well, not right now, because we just talked about the tricky part.
But basically the first thing that you guys will do is simply creating a notebook for your project.
So in this case, we'll write down your code and everything.
After that, you add analysis, step coding and outputs to your notebook.
So absolutely everything would be here.
And finally, you will add your business and all other analytics to your notebook, which will complete
your project as a whole for the security of Jupiter, since it becomes a more and more popular on the
Internet or.
Well, it's popular to the security that this tool uses.
Well, they have some security models that are in place.
The first one would be interested.
Hotmail will always be sanitized.
This means they will clean all untrusted HTML.
So if you have any external code that is not clean, it will be sanitized.
JavaScript that are not trusted will not be executed.
So once again, if you have some external JavaScript, it will not trust it and will execute it all.
HTML and JavaScript that are in markdown sales will not be trusted.
So very important to know that that HTML scripts and the JavaScript that are in markdown sales are not
trusted.
The output that are generated by the user are trusted.
So everything that you guys will create and generate at the end, let's say at the end of the project
or the end of a certain part of the project will be trusted because once again, this is you who created
the project and any other e-mail or JavaScript, it could be in markdown sales output generated by others
or anything related that it's not you create it personally will never be trusted.
So let's say, for example, you import a project that someone else created for your project.
Well, it's not going to be trusted because it's not it's not like you create it.
So this is for the security model around around Jupiter.
So right now, you guys have some basic and really, really low and basic knowledge of Jupiter.
So you know how everything here works.
So basically to import documents and how to store documents and everything.
And the next step will really be to work with Jupiter.
And this is what we are going to talk about in our next class.
That's first class guys and see our next class.