Welcome to the section on pattern installation and this section we shall install Python and also installed
GP.
Do not book ways.
We try using a running python code to download python.
Yeah there's python that.
Argh.
You simply click on this link right here and if you have a different operating system you could pick
one from this list.
Now if you want to use previous versions of Python, see 3.8, 3.7, 3.6.
You could select or pick out one of this release versions right here and then you can download.
So our those works to our download there we go is download that file simply click on this.
Comes up and we get straight into installation.
You could decide to install now or go through the cost of installation.
Also, don't forget to add Python 3.9 to your path.
So you have to pick this.
You decide what to install or not.
From this we go back and install those very easily.
We have you said our successful you could look at this online material and documentation.
So from this we close.
Now let's get back let's get back to the set up.
So right yeah we have this modify and notice here we have PIP.
So as we installed Python people's install and PIP is what we used to download and install auto python
packages which are used throughout this course.
But in the case where this pip wasn't installed, you have to install that on your own.
So let's get back to the and start this already.
So you want to cancel?
Yes.
Now to install paper, you simply have I get PIP, not UI.
And you were on that.
Yes he is.
And successfully installed.
So now you could install all app item packages.
Let's say, for example, numpy, which is used in mathematical computations.
So yeah, I would just have beep then install non pi and there we go.
So that's it.
Collecting on pie, downloading and composition installed.
Now, if we do python, we have this graph import non pie.
There you go.
Now, I could look at a version.
That's it.
So we've just installed Python and Peep and then also use Pip to install a python package, which is
that of numpy.
Our next tab will be installed.
Jupyter Notebook.
So we simply have to install repeat then book.
Now that we have Jupyter Notebook installed, we could go ahead and take this for this link.
So we have this.
And then are yeah, we simply type in Jupyter in the book and then we'll specify that link.
Once that's done, you'll see that in your default browser you will have this page pop up.
In case you don't have that pop up, you could simply copy this link right here and paste in your browser.
So now what you get is this you have you can see clearly this file which was in the same photo, in
the photo we just launched the notebook from.
So you have that and then you could create a new Python three file.
Write your.
And there we go.
We are now ready to work with Peyton.