‫Okay.
‫So now you've got a little idea between the difference of Anaconda and mini condom.
‫Hopefully you're not sick of snakes yet because we've got one more condom to cover, and that's Condor
‫itself.
‫If Anaconda and Mini Condor are like the hardware store and workbench of data scientists, Condor is
‫like a data scientist personal assistant.
‫It can help you set up your Workbench Order new tools when you need.
‫Make a copy of what tools you're using to share with someone else.
‫And more formally, Anaconda and Mini Condor are known as software distributions and Conda is known
‫as a package manager.
‫Remember how a package is a collection of code someone else's written which you can use well.
‫Conda helps you download, install and manage these packages.
‫When you download Anaconda or Mini Conda and install it to your computer, Conda comes with them.
‫But because we're using mini condom.
‫Many conduct comes with the essentials to get started.
‫Like Python, not the entire hardware store of data science tools like Anaconda, but many Conda also
‫comes with Conda.
‫So I know this can seem confusing to begin with.
‫And trust me, it took me a while to understand this.
‫But what Conder allows us to do is install other tools.
‫So we've got many condor, which is like the base and got Python to get started that's on our computer.
‫And then we use Conda, the package manager, to install these other packages.
‫You might be thinking, Daniel, why don't we do it this way?
‫This seems so confusing to so many steps have.
‫I already have my computer.
‫You're telling me you have to download Mini Conda?
‫Meaning contact comes with Conda condoms.
‫Like some personal assistant that helps me install packages.
‫Packages are code other people have written and I totally get you.
‫I was the same when I first started, but after working in different teams I started to see how important
‫it was to get this type of setup for each kind of project you're working on.
‫Up next, we're going to see how Conda, our personal assistant for our data science tools, can help
‫us to create an environment which contains different packages that we can use to work on different projects.
‫Now, again, I can understand you if you're a bit confused at the moment.
‫This concept took me a little while to understand, too, but we're going to see it in practice throughout
‫a bunch of different examples throughout the course.