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Okay okay.

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So now you've got a little idea between the difference of Anaconda and mini Condor.

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Hopefully you're not sick of snakes yet because we've got one more Condor to cover and that's Condor

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itself.

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If Anaconda and many Conda are like the hardware store and workbench and data scientists conduct is

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like a data scientists personal assistant.

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It can help you set up your workbench or the new tools when you need making a copy of what tools you're

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using to share with someone else and more formally Anaconda and many condemn are known as software distributions

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and Conda is known as a package manager remember how a package is a collection of code someone else's

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written which you can use.

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Well kinda helps you download install and manage these packages when you download Anaconda or mini Conda

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and install it to your computer.

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Contact comes with them but because we're using many Conda many kind of comes with the essentials to

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get started like Python not the entire hardware store of data science tools like Anaconda but many kind

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of also comes with Kondo so I know this can seem confusing to begin with and trust me it took me a while

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to understand this but what Condor allows us to do is install other tools so got many conduct which

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is like the base got Python to get started.

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That's on our computer and then we use Conda the package manager to install these other packages

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you might be thinking.

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Daniel why do we do it this way.

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This seems so confusing There's so many steps that I already have my computer in telling me you have

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to download many condo many that comes with condo colors like some personal assistant that helps me

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install packages packages a code.

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Other people have written and I totally get you.

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I was the same when I first started but after working different teams I started to see how important

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it was to get this type of setup for each kind of project you're working on.

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Up next we're going to see how Conda our personal assistant for our data science tools can help us to

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create an environment which contains different packages that we can use to work on different projects.

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Now again I can understand you if you are a bit confused at the moment.

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This concept took me a little while to understand too.

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We're gonna see it in practice throughout a bunch of different examples throughout the course.