Installation and Creating Your First Notebook3:27 with Kenneth Love
Jupyter Notebook is easy to get up and running. In this video, you'll see how to install Jupyter Notebook, start the server, and create your first Notebook.
[MUSIC] 0:00 Hi I'm Kenneth. 0:04 Today I want to show you a great tool for learning and experimenting with Python. 0:06 It also happens to be amazingly useful for doing data science and 0:09 data visualization work in. 0:12 On top of that it can also be used to work with code and 0:14 languages other than Python like Julia, R, and more. 0:17 This project used to be named IPython Notebook. 0:20 And you can still find a wealth of materials out there if you 0:23 Google for that name. 0:25 Nowadays though, the project has been renamed and slightly reimagined, and 0:26 is now known as Jupyter Notebook. 0:29 Jupyter Notebook is part of Project Jupyter whose name stands for 0:31 JUlia, PYThon and R. 0:34 These notebooks are pretty awesome because they can run your code written in Python, 0:36 Julia, R, and other languages. 0:39 They can also contain mark down, images and more. 0:41 Don't worry if this sounds like a lot of stuff to suddenly learn. 0:44 You can get a huge amount of value out of Jupyter Notebooks just with a few minutes 0:46 exploration. 0:49 So to that end, let's get it installed and running. 0:50 There are two main ways of installing Jupyter Notebook. 0:53 If you're doing a lot of data science related work, 0:56 you're probably going to want to use Anaconda, right here, Anaconda and conda. 0:57 That way you'll get all of the assorted goodies that come along with Anaconda. 1:02 I don't need all those though, you may not so I'm going to go ahead and 1:06 install it just with Python itself. 1:09 So it's listed here as this experienced Python users. 1:11 Really it's just anybody who doesn't need 1:14 all of the goodies that come along with Anaconda. 1:16 So I will use pip3 because that what the Python3 version of pip is listed 1:20 on this computer and I will install Jupyter. 1:25 So it gonna take a moment to install but once everything is installed 1:30 then I will be able to run a command to launch the server. 1:34 It should take just take a moment. 1:37 All right, now that it's installed I can launch the Jupyter server by 1:39 typing in Jupyter Notebook and you'll see it opens up my browser. 1:45 If it doesn't open up your browser right away, 1:50 you'll get a URL here in your terminal that you can copy and 1:52 paste into your browser, and it will open up your browser. 1:56 So now I've got the server open here, and this kind of like the notebook dashboard. 1:59 This is where it lists all the directories, and 2:06 the directory where you ran it, and any files that are in there as well. 2:08 If you have your notebooks stored in say your downloads directory, 2:12 you can go into that directory and go open the notebook there. 2:16 I don't have any notebooks waiting though, so I'm going to go ahead and 2:20 create a new one. 2:23 I'm going to click New here on the side and I'm gong to choose Python 3. 2:24 Now you may have Python 2 there, 2:27 you may have other languages depending on what all you have set up in the past. 2:29 Go ahead and create a new Python 3 one now. 2:32 Up here at the top, you'll see it's listed here as an untitled notebook. 2:35 I'm going to go ahead and name this as Treehouse Learning. 2:38 And if I was to go and check my home directory, 2:43 I would see that I have a TreehouseLearning.ipynb file, 2:49 and it's in my home directory because that's where I started my server. 2:56 If you started you server in a different directory it would be in there. 2:58 So, this here is the Python notebook. 3:02 I can pass this file to somebody and they would have the same notebook as mine. 3:04 Remember how I told you this used to be called IPython notebook? 3:08 Well, that's why it's ipynb, IPython notebook. 3:12 All right, so we have Jupyter Notebook installed, we have our server running, and 3:17 we have a notebook waiting for us to use. 3:22 In the next video I'll show you how to add and run cells in your notebook. 3:24
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