Now you might be looking at this kind of graphic and going okay.
I'll get my computer.
But what is this.
Many condo.
Condo.
Python.
All these graphics I've never seen before.
What what is actually going on here.
And don't worry if you're feeling like that.
It took me a long time to get my head around this kind of workflow.
More specifically this one here.
So this is what we're going to be setting up in this lecture.
Now remember this one is for Windows.
So if you're on a Mac you may want to go to the Mac version of this but if you're on Windows you can
stay here and watch right through this.
We're going to build out this little workflow from scratch.
This is what you likely have you're probably watching this video on your computer.
What we're going to do is set up this project folder and then use Conda worry about data later in the
future a future lesson.
We're gonna set up a project folder and then use Conda the personal assistant of our data science and
machine learning tools to create this environment.
Now remember this is the kind of workflow that you would do for each new project and for this lecture
we're going to set up a sample project folder but we're going to have experience setting up this kind
of workflow in each of the hands on projects throughout this course.
But this is just to get your head around it to understand what this kind of workflow looks like.
And so we can just practice setting up a new project and getting our tools ready for Data Science and
machine learning.
More specifically we're going to be going through these these steps here and now this flowchart will
be in the resources section.
But if we have a look here this is the mini Condor one we're gonna be taking because we've chosen to
use mini Conda because it is the data scientists workbench and it takes up 10 times less space on our
computer than Anaconda but offers all the value of what Condit can offer let's start with download many
conduct install it do your computer test installation create a project folder and change into it create
an environment folder with the project within the project folder activate the new environment which
will give us access to the tools we've installed to our environment install Jupiter.
Load up a Jupiter notebook and checked the tools you need.
Let's get started to begin to open up a web browser and it's conveniently got many come to download
here already done so we're gonna search many come to download click on the link we'll take you to the
mini Conda download page the link is look something like this what you should see is a few options here
for downloads a few more links now because we're doing the Windows version we're going to download the
Windows version of mini Conda if remember if you're on Mac OS you might want to look into the Mac OS
version but this lecture we're using Windows so we're going to choose the latest one which is mini conduct
windows 64 bit Python three point seven because Python 2.0 7 is getting deprecated after 2020 so we're
going to focus on python 3 plus so we click that we're going to click we're on Windows is going to run
a security scan over that no wait for the download download.
We might skip this video a little bit for once a downloads complete once a downloads complete this little
icon here which is the mini Condor icon might appear in your bar down here but otherwise if it doesn't
check your Downloads folder for the the file name that we download it should look something like this
and click on it and you should see something like this appear now to go through these steps.
We're just going to hit next.
I agree.
I'm going to keep it on the recommended settings which is going to install.
Now you're going to see the anaconda logo here.
But don't be confused by that.
We're installing mini Condor.
This is the one you want to pay attention to.
We're gonna click just mean keep it recommended next.
Now in my case it's going to be in my user account so users slash Daniel slash mini Condor 3.
You might want to store it somewhere different but make sure it's easily accessible in the user's folder
is easily accessible for me so I'm going to keep it there.
Again we're gonna keep this on the recommended setting as you can see here.
Not recommended install now we'll just wait for this to install.
Beautiful now the installation is complete.
It might have taken a few minutes but that's okay.
We're gonna take these I'm going to click finish.
So now we should have.
If you've gone through those set up steps you should have many condo installed on your computer.
So what does this mean.
Well we've gone through step 1 and 2 of what we're going to go through now.
We're going to end this lecture here.
Maybe thinking Daniel there's still a bunch of steps we haven't done but yeah to prevent this lecture
from getting too long.
We're gonna take care of these tests the installation create a project folder and all the rest in the
next video.
So I'll see there.