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Welcome back I'm so excited for this section.

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Why.

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Because we're going to start getting hands on with one of my favorite tools in all of machine learning

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and data science.

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Now in the past couple of sessions we've gone through this kind of workflow we've got your computer.

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We set up a project folder.

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We create an environment with some machine learning and data science tools using Conda.

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Now we're going to start diving deeper into each one of these tools and more specifically in this section

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we're going to be focused on Jupiter notebooks.

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Now if this diagram this arrow pointing here these arrows going here you're like what's going on here

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Daniel.

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Don't worry we're going to have a look at this over the next few sections.

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But what we're focused on for the moment are Jupiter notebooks which is kind of like the workspace of

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where where you work through all of your machine learning and data science projects.

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And now this is the workflow we're going to be using.

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You'll have a project folder which we've already created.

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We'll have an environment.

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So we'll need to make sure we activate our environment.

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So we have access to these tools.

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But then once we've kind of got our heads around Jupiter notebooks and these other ones this is what

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it will look like in practice.

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You'll have some data you'll imported into your Jupiter notebook and then you'll use a bunch of these

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tools within your environment to derive insights and gain information out of that data.

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That's enough of the overview for now let's get hands on and work with a Jupiter notebook what I'm gonna

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do is open up terminal if you're on Windows you may want to open up a clear event.

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So we've got a clean workspace here on windows you may want to open up the anaconda prompt and now remember

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how I said we're going to have to activate our environment to have access to these tools.

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That's what we'll do first but actually we're going to change into our project folder.

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Now for me I'm going to change to the desktop and I've got all of my information all of the project

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folders that I'm working on in the normal course folder.

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So we're going to go here.

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Mine's called sample project.

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Yours might be different but I'll just show you what's in this.

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Using less remember C D stands for change directory.

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So now I'm in my sample project folder and inside the sample project folder is a folder called M just

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to re-emphasize where we are.

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Let's go.

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I'll go into finder.

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This might be folder navigator on windows or something like that.

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So I mean M.L. course.

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And if I go over here I mean sample project.

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There we go.

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We've got em.

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Now what I'm going to have to do is activate this environment.

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So I have access to all of my machine learning tools.

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So let's do that.

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Conda activate going to have to type in the file path.

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Yours may be different to mine depending on where your environment is stored but that's what we covered

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in the last lecture is setting up an environment and activating it.

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So you want to go ahead and activate that environment again desktop email course sample project and

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so if I press enter here you'll notice that it changes from base to having this path name activated.

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So now my environment is active I should be out to start up a Jupiter notebook.

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We made a mistake.

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Notebook by typing in the command Jupiter notebook and heading into what this is going to do is automatically

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load up your browser your default browser is gonna come to the Jupiter dashboard.

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Very simple here.

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Again this is just another view of of what we can see in the sample project folder.

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So here we have our end folder.

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We looked inside that if we go back into finder we look inside and we've got the exact same folders

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here.

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This is where we're working now.

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What should you pay attention to on this.

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First we'll go back to the home section we look here.

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This is showing the files that we've currently got in this folder.

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Remember we're in the sample project folder.

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Then if you come over here we've got a couple of buttons upload and new.

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We'll have a look at those in a second.

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And you've got two other tabs here running.

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We'll show you any terminals that you have running in your Jupiter interface notebooks we'll show you

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any notebooks that you have running.

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And because we have neither of these running at the moment it says there are no terminals running.

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There are no notebooks running that clusters you don't really have to worry about for now I've been

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working on machine learning projects for last couple of years and have never looked at the clusters

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tab.

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So we'll come back here we'll focus on on what really matters.

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So what are these upload and new buttons.

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Well let's have a look.

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We click upload what happens.

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This is going to open up your folder interface.

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Now what if we did want to upload something for example.

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I've got a heart disease dot CSC document here for the sake of this lecture.

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But your you might be have another type of data folder here.

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So what we can do is if we wanted to we can open that and this is going to upload it to the Jupiter

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dashboard.

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But in reality all it's actually doing is if we come back to sample project where we were before now

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we can see we've got m m and heart disease and heart disease.

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So realistically this upload button is just like another form of of transfer one folder to another region.

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So we can do that again.

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Let's try and image this time and now this upload will work with any folder or any file that you want

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to try out.

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So try it out on your own if you want a link to these resources that I'm using will be available in

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the resources section so we'll upload this image click there.

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So now we go back to find a go to where we were sample project so we can see now we've got the exact

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same thing in here and six step email frame worked up Angie and heart disease dot CSC.

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OK.

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There's one more button we should pay attention to that's the new we click on new and this is the most

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exciting part we can start a notebook.

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Now it says Python 3 because when when we click on this it's going to create a new notebook and the

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notebook will be able to run Python 3 code which is what what we want right.

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We want to be writing Python code.

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We want to be writing machine learning code.

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You can also create text files create another folder if you wanted to or create a terminal window.

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We won't have a look at those now because we're focused on notebooks which is where we'll spend the

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majority of our time.

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So we click here it will open up a new window.

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And here we go.

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The most beautiful thing in all of data science and machine learning.

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Maybe aside from the algorithm that's working really well.

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Is the Jupiter notebook.

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And so again this interface might look a bit confusing if you've never seen it before but don't worry

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we're going to go through it to start off.

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Up here is the title of your notebook.

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So maybe we call it example notebook.

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This will rename your file and if we click this little save icon it's going to gonna say that it's auto

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saved here but really we click save.

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That's right.

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We come back here.

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What do we notice they've got example notebook that I Spy and B.

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So see what I mean.

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If you type in here example no let's just change this for demonstration example notebook one rename.

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That's going to change this name.

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And so if we come back to our sample project folder

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you'll notice we now have example notebook dot I pi and the now one is I pi and B stand for well I Python

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notebook which is what Jupiter used to be called but they've kept the file extension is there so that

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older versions of of notebooks don't break.

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So wherever you see this extension some named AI pi and b this is actually a Jupiter notebook.

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Now if we check the running tab we can see that we now have a notebook running.

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We don't have to pay too much attention to this shut down button from from this running tab because

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we can we can shut down our notebook elsewhere but we'll look at that in a future video.

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The next thing to think about.

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Let's rename this back to example notebook is what is actually going on here now is a quick overview

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remember this is the title.

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This is going to be the menu bar which is similar to what you may have seen in other applications where

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you've got File Edit You've got a few different controls here.

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This is the toolbar right so these are commands that you can use on different cells.

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And this is a cell.

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The most important thing to remember about this is that this cell can contain code or markdown content

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and can contain other things as well.

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But the two main ones you'll be worried about a code and markdown code was what allows you to write

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Python code in here and mark down allows you to write formatted text.

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So if we wanted to write Hello world we're going to press shift and enter.

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Now we go we've got we've got some text there.

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All right.

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Say this lecture from getting too long.

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We're going to have a look at different things that we can do with cells different things that we can

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do with these these little tools here in the next video.

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But the takeaway from this is that you can start a Jupiter notebook once you've got your environment

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activated.

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If your terminal window changes to something like this after you run the command you put a notebook

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that is completely normal.

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What this is saying is basically a Jupiter notebook is running at the local host which is on your computer.

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You can see here local host.

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So it just means that a document is running in your browser.

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So keep this as it is.

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We'll return back in the next video to look at more controls and things we can do within Jupiter notebooks.