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Welcome to the section on pattern installation and this section we shall install Python and also installed

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GP.

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Do not book ways.

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We try using a running python code to download python.

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Yeah there's python that.

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Argh.

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You simply click on this link right here and if you have a different operating system you could pick

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one from this list.

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Now if you want to use previous versions of Python, see 3.8, 3.7, 3.6.

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You could select or pick out one of this release versions right here and then you can download.

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So our those works to our download there we go is download that file simply click on this.

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Comes up and we get straight into installation.

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You could decide to install now or go through the cost of installation.

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Also, don't forget to add Python 3.9 to your path.

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So you have to pick this.

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You decide what to install or not.

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From this we go back and install those very easily.

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We have you said our successful you could look at this online material and documentation.

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So from this we close.

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Now let's get back let's get back to the set up.

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So right yeah we have this modify and notice here we have PIP.

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So as we installed Python people's install and PIP is what we used to download and install auto python

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packages which are used throughout this course.

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But in the case where this pip wasn't installed, you have to install that on your own.

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So let's get back to the and start this already.

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So you want to cancel?

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Yes.

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Now to install paper, you simply have I get PIP, not UI.

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And you were on that.

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Yes he is.

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And successfully installed.

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So now you could install all app item packages.

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Let's say, for example, numpy, which is used in mathematical computations.

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So yeah, I would just have beep then install non pi and there we go.

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So that's it.

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Collecting on pie, downloading and composition installed.

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Now, if we do python, we have this graph import non pie.

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There you go.

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Now, I could look at a version.

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That's it.

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So we've just installed Python and Peep and then also use Pip to install a python package, which is

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that of numpy.

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Our next tab will be installed.

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Jupyter Notebook.

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So we simply have to install repeat then book.

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Now that we have Jupyter Notebook installed, we could go ahead and take this for this link.

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So we have this.

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And then are yeah, we simply type in Jupyter in the book and then we'll specify that link.

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Once that's done, you'll see that in your default browser you will have this page pop up.

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In case you don't have that pop up, you could simply copy this link right here and paste in your browser.

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So now what you get is this you have you can see clearly this file which was in the same photo, in

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the photo we just launched the notebook from.

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So you have that and then you could create a new Python three file.

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Write your.

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And there we go.

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We are now ready to work with Peyton.