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Python Project Management With uv (Summary)

Rodrigo Girão Serrão

Python Project Management With uv Rodrigo Girão Serrão 01:41

You’ve learned all about uv, a fast, Rust-based package and project manager for Python. You’ve explored its features for creating projects, setting up virtual environments, managing dependencies, building and publishing projects, and more.

Understanding how to manage Python projects effectively is crucial for any Python developer. With uv, you have an all-in-one solution that speeds up your workflow and simplifies project management, making it an invaluable tool for both beginners and experienced developers.

In this video course, you’ve learned how to:

Install uv on your operating system
Create and manage Python projects with uv
Handle dependencies efficiently with uv commands
Build and publish Python packages to PyPI or private indexes
Set up developer tools within uv for a streamlined workflow

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00:00 What a journey this has been. Congratulations for making it this far. Let’s just quickly recap everything you’ve learned. You can now use uv to do a bunch of different things. Create and configure Python projects, you can understand what the files created by uv are for because uv creates honestly a bunch of files.

00:19 It might be overwhelming if it’s the first time using it. Now you have an idea of what these files are for. You even know that you’re not even supposed to touch some of those files.

00:28 For example, don’t touch uv.lock, at least don’t edit it by hand. You know how to manage project dependencies, adding and removing them, and you can do that for quote unquote regular dependencies, but also development only dependencies.

00:43 Those are a thing, and you know how to manage them. You know how to configure entry points so that you can give meaningful names to your commands, and you know how to build distributable packages so that you can then share your code, upload it to PyPI, for example, and make it available for others to easily install and use.

01:03 And this process of actually sharing your package, uploading it to say PyPI, that’s a big topic in and of itself. So there’s an article you can take a look at if you want to learn how to publish your package on PyPI.

01:18 And if you want to learn a little bit more about uv, there’s also a written tutorial that contains a couple of extra commands and options that might be useful when you are managing Python projects with uv.

01:31 I want to thank you very much for going through this course with me, and I hope you build great things with uv.

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