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