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Okaym so it's time to set up your computer and install the necessary software for this course.
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In this lesson I will show you how to install Python and configure your local environment so that way
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we don't have to rely on the trial environment on jupyter.org.
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I will show you how to install Python Anaconda on a Windows machine.
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So if you've got a Mac, skip to the next video.
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But before we begin, let me explain what Python Anaconda is and why we're downloading it.
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Anaconda is a Python distribution.
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And this means that Anaconda aims to provide everything you need for data science in one place.
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It's essentially a bundle of software and code that makes it easy for getting set up for data science
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and machine learning.
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For example, the Anaconda bundle already includes the Jupyter notebook so you don't have to separately
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download it and install it and it also includes tons and tons of Python packages and libraries that
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we'll be using in this course.
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What do I mean by libraries?
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Well, remember how we wrote "import pandas" or "import matplotlib" or "import scikit-learn" in our first
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project?
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Usually, you'd have to download all these packages one by one before you can use them in your project.
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But by downloading Anaconda we're going to be getting all these packages in one go. That way we don't
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have to worry about setup and configuration.
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Later on in the course one word of warning though,
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if you Google the word Anaconda you're probably not gonna get what you're looking for.
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You'll want to search "anaconda python" to find the continuum.io website or alternatively click on
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the link in the lessons resources to be directed directly to the download page.
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Now don't click the "Download" button just yet.
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First you have to do a very important check on your machine. Your laptop or your desktop computer will
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come in one of two flavors:
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tou will either have a 64 bit machine or a 32 bit machine.
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And here's how you check which flavor of computer you've got;
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you can go to your Control Panel and there, under "System type", you should see whether you've got a 32
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bit operating system or a 64 bit operating system.
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So, with that in mind, make a note of the type of processor and go back to the download page on continuum.io.
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Here you should see a big green "Download" button. Click on that big green "Download" button,
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only if you've got a 64 bit processor; if you've got a 32 bit machine, click on the link below.
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The thing about Python is it also comes in two flavors.
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We're going to go with the newer version of Python - Python 3.
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So, while Anaconda is downloading, this is a good time to go for a coffee or tea. After the download completes,
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you can start the installation.
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We're gonna be presented with one of those standard setup wizards, so we're going to click "Next".
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Then I'm gonna agree to the license agreement, we're probably signing away our first born child at this point,
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but on the next parts of the wizard I'm just gonna go with the recommended options, so I'm gonna say
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install for just myself and for the destination folder I'm also going to stick with the default. For
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the advanced options,
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I'm going to leave them as they are in the installer as well with the first one unticked and the second
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one ticked. Now,
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my computer actually isn't as fast as it appears to be because I'm speeding up the video here but this
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installation process actually takes a little while too.
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So just be patient, and after the installer finishes, just going to click "Finish".
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Now it's time to fire up Anaconda and the Jupyter notebook just to see if everything's working. Click
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on your Start menu and then go find the Anaconda command prompt. You should see a little black window
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like this appear, and in this window type "python --version" and here you should see the
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version of Python that you've installed.
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And as we've mentioned before,
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make sure the version of Python is 3.6 or higher.
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Now, it's very useful to have the Anaconda command prompt handy, so in your taskbar at the bottom right
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click and pin this program to the taskbar.
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That way you can fire up the Anaconda prompt very quickly.
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Next, let me show you how to start up your own Jupyter notebook.
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You can do that by simply typing "jupyter notebook"
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and hit Enter.
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Now give it a minute and you should see your browser firing up with the folder structure on your C drive.
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And when you click on "New", you should be able to start a new Python 3 notebook, so congratulations on
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getting that working.
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But starting up is only part of the equation.
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We also have to be able to shut this down properly. And to shut down open notebook, go to File > Close and
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Halt, and you can log out and close your browser window.
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But the important part is actually to terminate the notebook from the Anaconda command prompt and you
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need to do this with a keyboard shortcut.
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You can see here in the instructions it says "Use Control-C to stop this server and shut down all kernels
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(twice to skip confirmation).", so on your keyboard press Control+C twice, you should then see the messages
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"Interrupted...", "Shutting down kernels", and that's how you close out of Jupyter completely.
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Finally, let me show you all the components that were installed along side with Anaconda and to do that,
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let me show you the Anaconda Navigator.
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This is also an alternative way of firing up the Jupyter notebook - instead of going through the Anaconda
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prompt. After it finishes loading,
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you should see a window like this. From here,
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we can launch the Jupyter notebook, or the Spyder Python IDE or even RStudio.
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So congratulations on getting set up.
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If you have any problems or had any issues ask in the Q&A section for this lesson. I'll see you in
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the next videos.