Managing Dependencies With Python Poetry (Summary)

Managing Dependencies With Python Poetry Emmanuel Nwokocha 02:52

In this video course, you practiced creating new Poetry projects and using Poetry on top of existing projects. You learned that the pyproject.toml file plays a key role in Poetry, helping to manage project dependencies and configuration in a standardized format. Additionally, the poetry.lock file ensures that you can record and maintain the exact versions of each dependency across different installations or environments.

When you track the poetry.lock file in your Git repository, you also guarantee that all other developers on your team install identical dependency versions on their machines.

In this video course, you learned how to:

Create a new project using Poetry
Add Poetry to an existing project
Configure your project through pyproject.toml
Pin your project’s dependency versions
Install dependencies from a poetry.lock file
Run basic Poetry commands using the Poetry CLI

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Course Slides (.pdf)

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Code Cheat Sheet (.pdf)

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Congratulations, you made it to the end of the course! What’s your #1 takeaway or favorite thing you learned? How are you going to put your newfound skills to use? Leave a comment in the discussion section and let us know.

00:00 Congratulations, you’ve now completed this course on using Poetry for dependency management in Python. You learned how to create new projects, integrate Poetry into existing projects, and manage their dependencies efficiently.

00:14 One of the key takeaways is understanding the importance of the pyproject.toml file. This file serves as the central place for defining your project’s dependencies and configurations in a standardized way, making your projects more manageable and ready to be shared. Alongside the pyproject.toml file, you’ve also learned how the poetry .lock file locks in the exact versions of your dependencies, allowing you to create reproducible environments across different machines or installations.

00:47 When you work with remote repositories, you can include the poetry .lock file in your Git repository. This way, you guarantee that all your collaborators will be working with the same versions of each dependency, an essential practice if you are in a development team.

01:03 Let’s recap what you’ve learned in this course. You started by creating a brand new project with Poetry. You also learned how to add Poetry to existing projects.

01:14 You explored how to configure your projects with the pyproject.toml file. You saw how to pin your project’s dependencies and explored install and pin dependencies using the poetry.lock file, and became comfortable with basic Poetry commands using the command-line interface.

01:35 While this course focused on the fundamentals of dependency management, Poetry has more to offer. If you are interested in going further, you can explore using Poetry to build and publish your own Python packages to PyPI, and even make your own open-source Python projects.

01:51 Poetry can also help you build a distribution package for your project if you want to share your work.

01:59 In your slide, you’ll find links to additional resources on related topics for you to explore, like an introduction to Python modules and packages, a video course and tutorial to help you understand how to better modularize and package your Python projects,

02:15 and a tutorial on how to publish an open source Python package to PyPI, Python’s Packaging Index, for publishing your projects for others to access.

02:25 And also, a primer to Python virtual environments, a tutorial to help you understand better how to work with virtual environments with Python.

02:34 These will give you ideas on how to better apply the knowledge you’ve gained in this Poetry course, taking your skills and knowledge on managing Python projects to the next level.

02:44 You can get all of these here on realpython.com. Until next time, keep building and happy coding.

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