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- When you're working
with installing software

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in the context of Anaconda,

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there are two so-called package managers

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that you're typically going to use

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and these are going to
enable you to install

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what are known as packages.

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These are basically bundles of software

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that represent a given library

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or tool that you'd like to add
to your Python distribution.

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Now there are two key package
managers that you'll encounter

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throughout these videos.

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You already saw it in a preceding video,

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the conda package manager

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and that package manager is
not only going to enable you

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to install additional software

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as you'll see in various later lessons

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but it also is going to
be the tool that you use

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to manage Anaconda from the
command line to do things like,

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create customer Anaconda environments

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which are important for example,

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for reproducibility or to add
and remove those environments,

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activate those environments

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and also remove and
install software as well.

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There's also one called pip

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and you'll use both of these

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because in the case of pip,

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more packages are available through pip

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than are currently
available through conda.

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Now in general, we're going to
use conda whenever possible.

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So anytime you want to
install a new library

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or tool into the Anaconda
Python Distribution,

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one of the nice things
about doing that with conda

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is it's going to check everything else

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that you've previously
installed with conda,

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check their dependencies
among those items,

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and only perform the install
if the dependencies are correct

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On the other hand,

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there are some things you
simply can't install with conda

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in which case, we will typically use pip.

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Now some people do prefer
to just use pip all the time

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because of the fact that
it supports more packages.

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What I would recommend
is trying conda first

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if we give you such an instruction.

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If conda doesn't work for any reason,

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then you would go ahead
and use pip instead

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and that's the approach that we took

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throughout our writing effort as well