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There's another way to run your Python code.

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You don't have to do it through your command line, although

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I like the command line just because I've been exposed to it for so long.

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But if you're brand new, the command line can be very overwhelming.

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Another way is to use this thing called a Jupyter Notebook.

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'jupyter.org', I believe, is the website, J-U-P-Y-T-E-R.

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And if we just click on 'Install', there are a few different

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ways to install Jupyter Notebook.

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So if you're already familiar with some Python, you have

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a little bit of background with Python, you can just simply do

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'pip install jupyterlab' or 'pip install notebook'.

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Now, chances are you probably don't have that kind of experience

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right now, and that's okay.

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If you don't, you can go to 'anaconda',

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I don't actually remember what this website is.

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I think it's 'anaconda.com'.

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Yes, 'anaconda.com'.

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So Anaconda is a Python distribution.

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It also comes with a lot of different tools.

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So if we click on 'Download', you can download for Windows,

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Mac, and Linux.

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It will install Python for you.

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It will also install a bunch of other things for you as well,

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including a Jupyter Notebook.

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So just scroll on down, click Python 3.7, or if 3.8 or 3.9

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is out, go ahead, click that, download it, and install it.

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Okay. So I'm just booting up Anaconda here.

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And you're going to see once this loads, it comes with a

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bunch of stuff. It comes with things like VS Code, RStudio,

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and Jupyter Notebook.

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This is the one we want.

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So I'm just going to click 'Launch' here, and that spun up my Terminal,

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and it's going to run the command line command from Terminal.

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And here we have Jupyter Notebook.

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This is probably going to be pretty hard to see on a smaller

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video. So let me zoom in here.

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A Jupyter Notebook is basically an interactive way to

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go through your different files, and create these things called

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interactive Python Notebooks.

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Now I have a folder in here called 'Python_for_Everybody',

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and this is where I'm going to be keeping all of my code.

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Now to create a new file, all you have to do is click this

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'New', go to 'Python 3'.

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I have Django installed

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so it's going to say this.

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It might not say that for you. 'Python3',

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and we're going to see this cool little thing.

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Now, this doesn't look like much to begin with.

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However, if we run that 'print' statement we saw in the last

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video, "Hello World", and we hit 'Shift +

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Enter', we can see "Hello World".

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Now, let's just walk through Jupyter Notebook a little bit,

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because this is not super intuitive.

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So let's first turn on our toolbar. Here we go.

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So you can go into a cell here and you can change

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this text, "Changed", and you can rerun it, and you can just click 'Run',

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and it will rerun your code for you, which is really nice.

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You can actually go back and do this over and over and over

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again. Let's go ahead and turn on our line numbers here.

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So in this cell, we've got line number 1, just says 'print(

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"Hello World Changed!")'. Down the road

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you're going to see me use something called 'Markdown', and

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it will just say, "Hello

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This is a title", and there's actually no code to execute, it's just 'Markdown'.

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So that is a 'Markdown' cell.

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Usually we're going to stick with regular code cells.

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There's also a bunch of shortcuts here, which if you are

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a shortcut Ninja, you probably want to learn most of these

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because there's some nice shortcuts in here, like how to

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delete a cell, how to move up and down a cell, things like

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that. For the most part

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we actually don't need to know a lot of that in this course,

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because we're just going to be using these cells to really

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explore Python.

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So let's go ahead, change that and rerun it.

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Now, I'm going to save this file, and you can save your file

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as well, by going to 'File', and this is all just done in the browser.

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So this is not actually in my browser's file settings,

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this is in what looks like a website's browser settings.

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So I go to 'File', 'Save as', and let's just call this 'first_notebook'.

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Now, I'm actually not going to make this publicly accessible

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because this one is just, I'm going to throw this file away, it's not

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useful for anything, but this is how you actually save one.

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So this is the folder that I'm in.

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I'm just going to call it 'first-notebook.ipynb'. 'Save',

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and just like that, it's saved.

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It doesn't look like it did anything.

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And then you could change the title up here if I wanted to.

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But whenever you see some of my code, and I'll show you

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where to download all of my code down the road, you want

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to do 'File', 'Open', and then you can open,

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let's say 'first-notebook.ipynb', and you can see all

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of my code and execute all of my code as well.

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Now, last but not least, sometimes you want to run something

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from the command line, this is not your command line program,

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this is simply Python,

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that's all this is.

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This is a little interactive way of working with Python.

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But if you needed to run something from the command line,

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you have two options here.

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You can either open up your Terminal, I've got two open, one

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that I'm writing code on, and one for Jupyter Notebook that runs

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behind the scenes, or you can type exclamation mark, '!',

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and then whatever your command is going to be.

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So mine is going to be '!python -V',

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and that's just going to show me the version of Python that I'm

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currently using. And hit 'Shift + Enter', and it says Python 3.7.2

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Last but not least, there is a way to actually theme this.

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So if you don't like all the bright colors and the light

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Grays, you can actually theme this. In your command line

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you could do 'pip install jupyterthemes'.

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And then, yeah, see, it's installing Jupyter Themes for me.

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[no audio]

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Cool. So it did a bunch of stuff, and then you could run,

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I think it is 'jt -t',

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and then the name of the theme, something like that.

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You'll have to look into that on your own, because I'm just

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going to use this standard version just so it keeps it nice and simple.

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And as, I don't really want to bloat this course with too many things,

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but I do want to show you that you can change the theme of

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this, so it looks a little nicer.

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Maybe it looks more like your regular text editor. So you

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can do that as well.

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I think one of them is actually 'monokai',

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I have no idea how to spell that right,

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but you could do something like that.

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And then you just shutdown Notebook, and start it up again

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from scratch, and it will look different.

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Anyways, that is a Jupyter Notebook in a nutshell.

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If you want to, you can go ahead and you can explore all

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the different cells, things that you can do, the commands,

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your command palette, or all your shortcuts.

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You could search through them.

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You can create new files. You can cut text. You can move

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up and down cells. You can do all sorts of stuff in here.

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So for the good majority of this course, we're going to be

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using a Jupyter Notebook.

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And when it comes to learning Python, I would highly recommend

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downloading Jupyter or Anaconda, and using Jupyter Notebook

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just so you can learn and tinker with Python.

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You don't have to worry about retyping anything.

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You can always just come back and you can undo something,

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rerun this out with 'Shift + Enter'.

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I wanted to get rid of it,

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get rid of that one,

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get rid of that one, get rid of that one.

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So I just deleted cells using a shortcut.

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So no big deal.

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And again, if you ever wanted to change it again,

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if you ever wanted to change something, it will just automatically

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run for you. It's very, very nice tool to have.

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You don't have to worry about retyping anything, so definitely,

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definitely get Jupyter Notebook.

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It's completely free.

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But if you don't want to, you can always just use the standard

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Python interactive shell.

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[no audio]