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Conda is a great tool to use for installing packages
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If you don't want to use
the Anaconda Navigator GUI, or
0:00
maybe you're in the middle of doing
something in your terminal and you just
0:02
don't want to switch apps, there's Conda,
which is Anaconda's pip like tool.
0:06
Conda does a bit more than pip though in
that it can do pretty much everything that
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the navigator can do.
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So let's jump a little bit into Conda.
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Now I showed you how to make
an environment With the navigators, but
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let's do this with conda now.
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So I'm here in my home environment,
or my home directory,
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and I'm gonna do conda create --name.
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And the last one I did was for
butterflies,
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maybe this time I'm studying,
I don't know, angler fish.
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I study a lot of animals.
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So I'm gonna name this one angler fish,
and again, I want to install numpy.
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So this will create a new
project named Anglerfish and
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it's going to install
the NumPy software into it.
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Now it Conda goes through a few processing
steps that you saw here with this fetching
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package metadata and
solving package specifications.
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And then it gives me this plan, this list
of things that it's going to install.
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So it's gonna install it into
Users/Kenneth/anaconda/envs/Anglerfish.
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And it's going to install all
of these new packages, so
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certifi, mkl, numpy, and so on.
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And it asks me if I want to proceed.
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Now I think this looks fine, so
I'm just gonna have to say yes, and
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I'll press enter, and I have to wait
a little bit while these things install.
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Now it's not very long.
1:20
It's a few seconds, because these were
all already available in my downloaded
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Anaconda stuff, but just so you know.
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Now if for some reason you get
an error that Conda wasn't available,
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you'll need to check your
path variable in your shell.
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There is simply too many possibilities for
what causes this error and
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how to fix it for
me to tell you all of those.
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So your friendly local search engine
should be your first stop and
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I'm sure you'll get it solved.
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Okay, so everything's installed now
I'm gonna hop back into the navigator
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real quick.
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Let's go ahead and launch that.
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And I wanna see if
the environment is there.
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And so let's come over here and
we look at environments, and look at that,
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there's my Anglerfish environment.
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And if I look at it and
I see what's installed, it has numpy and
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all the other stuff installed
that I told it to.
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So that's great.
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Okay so, but
I'm gonna go back to the terminal.
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And here at the bottom, Conda told
us how to activate our environment.
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So we would use source
activate Anglerfish.
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And that will activate our environment.
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And you can see we get this prompt
right here, which looks very similar
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to the prompt you would get if you
have used virtual env in the past.
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And now we can use our Python Shell
just like we normally would.
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We can type python and you can see we
get Continuum Analytics thing again,
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and we can import numpy as np and
the import works just fine.
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So we've got everything
that we had before, but
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what if you need to
install an extra package?
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Well, first we need to
get out of our shells and
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then I'm going to clear just
to bring things up to the top.
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And now we can search for
packages if we want.
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So we can do Conda search and then let's
say we wanna do some visualization so
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we want bokeh.
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So let it do its package metadata and
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we get just a ridiculous
list of options here.
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So we can just tell Conda to install.
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We don't have to look
through all of these.
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This lets us specify exact versions, but
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if we just wanna do conda install
bokeh and we press Enter.
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Then it will go and install the one
that's correct for our system.
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So you can see here,
it's going to install bokeh for Python 36.
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So yep, go for it and
it installs everything.
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Now there's a lot more to Conda than
I can cover just in this one video so
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be sure and check the teacher's notes for
more information.
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