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Introducing Pipenv
3:37Let's start with taking a look at how to get a pipenv environment installed and setup.
To start, we need to install pipenv.
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Ironically, we can use pip to install it.
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Python, the -m flag, pip install pipenv.
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Once it's installed, and
inside our working directory,
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we can install packages.
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pipenv manages dependencies
on a per-project basis.
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Therefore, simply by installing packages,
we can start using its benefits.
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For our sample project here, let's
install the popular requests library.
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We do that with pipenv install requests.
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By doing so, we see that pipenv
has done a few things for us.
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First, it created a virtual
environment inside our directory.
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It created a Pipfile for us to use, which
we'll look at in more detail here shortly.
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It downloaded the request library
into our virtual environment and
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it added it to the Pipfile.
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Then it locked the dependencies
in a file called Pipfile.lock.
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We can also define which version
of a package to install.
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Let's install the Python Plotting Library,
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matplotlib, and
specify a specific version.
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pipenv install, again,
you want matplotlib and
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we wanna pin it to version 2.2.2.
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We see that it installs
the package in the Pipfile and,
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again, it locks the dependencies
in Pipfile.lock.
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Now what if we have packages that we
will only need for development and
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not in production?
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We can do that as well.
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Let's install pytest in
a development-only mode.
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Do pipenv install pytest and
add the dev flag.
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We see that pytest has been added and
locked to a dev-packages area.
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Let's write a quick script
that we can run using pipenv.
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Let's create a file in this
directory called main.py.
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We'll touch main.py and it'll open it.
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So inside main.py, we'll import requests,
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And we'll make a request
of the Treehouse site.
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So response will be requests.
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Send a get request to teamtreehouse.com.
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And then we'll simply
print out the status code.
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We ant response.
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Status_code.
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We want the string version of that.
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Pretty basic script.
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Let's save it and
run it from the command line.
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We can run it with pipenv
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run python main.py.
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And there's our result,
a 200 code for okay.
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Running our script with pipenv run,
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make sure that our install
packages are available.
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In the next video, let's take a closer
look at the two files pipenv created and
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populated for us, Pipfile and Pipfile.log.
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