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You might not need all Anaconda has to offer. Check out miniconda!
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If you don't want to install Anaconda,
the navigator, and
0:00
all the packages that come with them,
you can instead install Miniconda.
0:02
Miniconda is a much smaller package
that really only comes with conda and
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its dependencies.
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This is great solution for
working on servers, or
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even smaller machines where you just
can't afford all of that overhead, and
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maybe you don't have a GUI
to take advantage of.
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Just like with Anaconda,
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you'll want to download
the installer that's right for you.
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Now, if you're on Windows,
you'll get an executable installer.
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Which means you'll just walk through
a wizard to install it just like you would
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most other software.
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But if you're on Mac OS or
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Linux, then you're gonna have to
download this shell script instead.
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So I'm gonna go ahead and download that.
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And I'm gonna say keep, but
that warning is very apt.
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It can be dangerous to use shell scripts.
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I'll open up the terminal and
I will go into my downloads folder.
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And if I look here I have this
Miniconda =latest MacOSX x86_64.sh.
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So to install that, I'm gonna go ahead and
run that with the SH command.
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And yeah, I will agree to it.
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And then we have to work our
way through the license.
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And yes, I approve of the license terms.
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They're just like they were before.
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And so
this asks where we want to install it.
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We're gonna install this to
/Users/Kenneth/miniconda.
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Yours will be a different path, of course.
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I'll say Enter.
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And it's going to go ahead and
install everything.
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And then is going to ask me if I
want to add the path to this to my
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batch profile and I do, so I'm gonna
just press Enter and so now we're good.
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So I'm going to quit and
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restart my terminal so
that that path will be picked up.
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And then, let's try this out.
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So now just like we did before
when we had Anaconda installed,
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we can still use conda, and
we can create a new one.
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So this time I'm just
gonna call it treehouse.
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And I wanna install the requests library,
no I wanna install numpy again.
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Let's keep it consistent.
2:02
Now this -n is the same
as doing the --name.
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You can just use a shortcut if you want.
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So it wants to install all these things.
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I'll go ahead and say yes, and it will
download and install each of these things.
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Now it has to download them this time
because I no longer have the Anaconda
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packages available to it.
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I only have miniconda installed.
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So it takes it a little bit longer
to install all of this stuff.
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Now if you're using Miniconda,
you can create your conda environments,
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you can install your packages,
but you won't be able to launch
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the Anaconda navigator and you won't
be able to use Anaconda projects.
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Like if you wanted to
put them onto Docker or
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Anaconda cloud without installing
the appropriate packages through Conda or
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just downloading the entire
Anaconda package.
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So now I can source activate treehouse,
and
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I can go into Python and I can say
import numpy as np, and it works.
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Personally, I prefer using
Miniconda to Anaconda.
2:57
That's mostly though because I don't do
much, or really any data science-y stuff.
3:00
I mostly use Miniconda to easily
install packages like Open CV2 because
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I don't want to fight with Mac OS and
Windows about drivers and libraries and
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other tooling.
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Miniconda saves me a lot of time and
frustration.
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Like I said before this is just
the tip of the Anaconda iceberg.
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Go out and explore the available
environments, packages, guides and
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tools that the Anaconda
community has available.
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I'm sure you'll learn a ton and
find places that you can give back.
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Best of luck, I'll see you next time.
3:27
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