Table of Contents

1. Challenge

   Step 1: Getting Started

   Welcome to this Code Lab on managing Python projects with uv! uv is a modern, extremely fast Python package installer and resolver, written in Rust.

   It's designed to be a drop-in replacement for tools like pip, pip-tools, and venv. This lab is designed to work offline, so all required packages are pre-downloaded in the packages directory.

   The lab environment is configured to use this local package directory automatically, so you can use uv sync commands without any additional flags. In this first step, you'll set up the basic configuration file for your project. info > This lab experience was developed by the Pluralsight team using Forge, an internally developed AI tool utilizing Gemini technology. All sections were verified by human experts for accuracy prior to publication. For issue reporting, please contact us.

2. Challenge

   Step 2: Managing Environments and Dependencies

   A key part of any Python project is managing its dependencies in an isolated environment. Here, you'll see how uv simplifies this process, from creating a virtual environment to adding the packages your application needs to run.

3. Challenge

   Step 3: Implementing Application Logic

   With the environment set up, it's time to build your application. You'll write the core logic for the CLI tool and define an entry point so it can be run from the command line.

4. Challenge

   Step 4: Running Development Tasks

   Professional development workflows involve more than just writing code. You also need tools for linting, formatting, and testing. In this step, you'll learn how to manage these development-only dependencies and run them easily using uv run.

5. Challenge

   Step 5: Testing the Application

   Ensuring your code works as expected is crucial. Here, you'll write a unit test using pytest to validate your application's logic and then use the uv run task you created to execute the test suite.

6. Challenge

   Step 6: Building a Distributable Package

   The final step is to package your application for distribution. You'll configure the project's build system and then use uv to create a standard Python wheel (.whl) file, ready to be shared and installed elsewhere. Congratulations! You have successfully built a distributable Python package using uv.