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Isn't Pipenv pretty impressive thus far?

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One last thing here that's pretty helpful.

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If you need to see what dependencies
are reliant on one another,

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you can easily generate a dependency
graph with Pipenv, pipenv graph.

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This shows the top level dependencies and
which packages they depend on.

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graph can take a few flags,
which can be helpful as well.

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Clear, we can get our graph back in JSON

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format with, pipenv graph --json.

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And if we run pipenv graph --reverse,

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We'll find the sub-dependencies first,
and what is reliant on them.

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This can be very helpful when attempting
to figure out dependency conflicts.

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Finally, there is a built-in security
check that tests against PEP 508

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requirements and package safety.

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We do pipenv check.

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Whew, it all passed.

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Check the teacher's notes for
more information on 508 requirements.

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Pretty nice, right?

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With adding Pipenv to your toolbox,

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you get the benefits of
a streamlined development workflow,

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with virtual environment,
dependency management, and security.

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We've looked at Pipfile and
Pipfile.lock, to see how Pipenv

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separates abstract dependency declarations
to manage our project environment.

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We also saw how to generate
a dependency graph.

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Pipenv is a great tool to
have in your Python toolkit.

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It allows pip and virtualenv to be
consolidated into an easy-to-use,

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single interface.

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I would encourage you to try
it out in your next project.

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Be sure to share your thoughts in
the Treehouse community forum, or

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reach out to me on Twitter.

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Until next time, happy coding.