Installing and Using Jupyter Notebooks

Quick reference

• 00:05 Okay, so we've got our virtual environment turned on, now it's time to install and
• 00:08 start using Jupyter notebooks.
• 00:10 So we're going to use Jupyter notebooks throughout the rest of the course,
• 00:13 to do all of our coding, to run all of our coding Do all of our data analysis work.
• 00:18 And before we do that, obviously, we need to install it.
• 00:20 So we do that straight here from the command prompt.
• 00:23 And to do it, all we do is pip install jupyter.
• 00:25 Now, it's J-U-P-Y-T-E-R and the py stands for Python.
• 00:32 So it's Jupyter but with py instead of pi, all right?
• 00:35 So you go ahead and hit Enter.
• 00:37 Now make sure that you're in your C data directory,
• 00:40 make sure that your virtual environment has been turned on.
• 00:43 And you can see it's now downloading and
• 00:45 installing all kinds of cool things for us.
• 00:49 And this could take a few seconds to finish and
• 00:51 you could see there's a whole bunch of stuff right here that it's installing.
• 00:57 And we really don't care what most of this stuff is.
• 00:59 This is all going to work behind the scenes for Jupyter notebooks and
• 01:03 it will just work for us.
• 01:05 And that's really all we care about.
• 01:06 So let's just wait a second here for this to finish installing.
• 01:10 Okay, so it's finished installing, so
• 01:11 I can clear the screen now with the clear command.
• 01:15 Now remember in the last video, we typed in pip freeze and
• 01:18 there was nothing listed.
• 01:19 Now when we do, there's a whole bunch of stuff listed.
• 01:23 And you'll notice this has just been installed in our virtual environment.
• 01:28 If I use the deactivate command, and
• 01:30 then pip freeze, none of these things will be listed, because they've only been
• 01:33 installed inside of our virtual environment, which is very cool.
• 01:37 So all right, I'll go ahead and clear the screen.
• 01:39 Now to actually run Jupyter notebooks and this is what you'll need to do anytime you
• 01:44 want to run Jupyter notebooks from now on, you just come over here to the terminal
• 01:48 and type in Jupyter note book, all right?.
• 01:53 And when you do, a bunch of stuff pops up, and
• 01:57 your web browser automatically opens and we have this Jupyter notebook.
• 02:01 So this is the Jupyter notebook.
• 02:02 So you can see we're in that directory
• 02:05 because there's our virtual folder that we had before.
• 02:08 And we could just come over here to new, we want a new Python three notebook.
• 02:13 And when we do this thing pops up.
• 02:15 So let's go ahead and click this untitled thing and let's name this something.
• 02:18 And let's just name this data.
• 02:21 So we can click Rename and now this notebook has been created.
• 02:25 So this is our Jupyter notebook.
• 02:27 This is where we're going to be working throughout the rest of the course.
• 02:29 Now this has been saved in that same directory in our C data directory.
• 02:36 In fact, I can go open and Windows File Explorer.
• 02:41 And I can navigate to my C drive and go to that data directory.
• 02:45 And when I do we see this data.ipynb file, that's the notebook we just saved.
• 02:51 Remember we named it data, this is it right here.
• 02:54 So this notebook will autosave for us as we go along or
• 02:58 you can in any time come up here to file and click Save.
• 03:03 If you click Save As, you're going to want to name it the same data.
• 03:09 And when you do it says are you sure you want to overwrite?
• 03:11 Yes, but they should auto save for you every now and then, so you should be fine.
• 03:18 So this is our Jupyter notebook, very, very cool, and
• 03:20 just right here, we can run any Python coding that we want.
• 03:24 So if we wanted to go 2 + 2 now in order to run these cells,
• 03:27 hold down the Shift key and the Enter key on your keyboard at the same time.
• 03:31 And you can see boom, it outputs to 4.
• 03:33 We could do regular Python we can print, hello world.
• 03:37 Now if we Shift+Enter, boom, it prints out hello world.
• 03:40 We can come back here and edit any of these cells anytime we want.
• 03:44 To change it to 2 + 4, for instance, we Shift+Enter, boom, we see 6.
• 03:49 So this is Jupyter notebooks get used to this,
• 03:51 we're going to be using this throughout the rest of the course.
• 03:53 It is a lot of fun to use, very easy to use.
• 03:55 As you can see, it's just a matter of typing in the things we want to do, and
• 03:59 Shift+Enter to run them.
• 04:02 And you can do multiple lines if you want, all right?
• 04:06 So very, very cool.
• 04:07 So we now have all the main tools that we need.
• 04:10 We've got our Jupyter notebook set up.
• 04:12 We've got our Python running, we've got our get bash terminal in the background.
• 04:16 And you'll notice if we go back here, this thing is just running now.
• 04:20 This needs to keep running as long as we want to use our Jupyter notebook, right?
• 04:25 As soon as this stops, this won't work anymore.
• 04:29 So you need to keep it running in that terminal
• 04:32 as long as you want to use this notebook.
• 04:34 So that's all for this video.
• 04:35 In the next video, we will start looking at actual data analysis stuff,
• 04:39 we'll install NumPy, which is one of the main libraries and
• 04:42 programs we're going to use for our data analysis.
• 04:44 And that'll be coming up in the next video

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